NIPS 2006:
Vancouver,
British Columbia,
Canada
Bernhard Schölkopf, John C. Platt, Thomas Hoffman (Eds.):
Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006.
MIT Press 2007, ISBN 0-262-19568-2 BibTeX
- Pieter Abbeel, Adam Coates, Morgan Quigley, Andrew Y. Ng:
An Application of Reinforcement Learning to Aerobatic Helicopter Flight.
1-8
Electronic Edition (link) BibTeX
- Amiran Ambroladze, Emilio Parrado-Hernández, John Shawe-Taylor:
Tighter PAC-Bayes Bounds.
9-16
Electronic Edition (link) BibTeX
- Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer:
Online Classification for Complex Problems Using Simultaneous Projections.
17-24
Electronic Edition (link) BibTeX
- Rie Kubota Ando, Tong Zhang:
Learning on Graph with Laplacian Regularization.
25-32
Electronic Edition (link) BibTeX
- Jerónimo Arenas-García, Kaare Brandt Petersen, Lars Kai Hansen:
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets.
33-40
Electronic Edition (link) BibTeX
- Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil:
Multi-Task Feature Learning.
41-48
Electronic Edition (link) BibTeX
- Peter Auer, Ronald Ortner:
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning.
49-56
Electronic Edition (link) BibTeX
- Shai Avidan, Moshe Butman:
Efficient Methods for Privacy Preserving Face Detection.
57-64
Electronic Edition (link) BibTeX
- Francis R. Bach:
Active learning for misspecified generalized linear models.
65-72
Electronic Edition (link) BibTeX
- Aharon Bar-Hillel, Daphna Weinshall:
Subordinate class recognition using relational object models.
73-80
Electronic Edition (link) BibTeX
- David Barber, Silvia Chiappa:
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models.
81-88
Electronic Edition (link) BibTeX
- David Barber, Bertrand Mesot:
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems.
89-96
Electronic Edition (link) BibTeX
- Peter L. Bartlett, Ambuj Tewari:
Sample Complexity of Policy Search with Known Dynamics.
97-104
Electronic Edition (link) BibTeX
- Peter L. Bartlett, Mikhail Traskin:
AdaBoost is Consistent.
105-112
Electronic Edition (link) BibTeX
- Chiara Bartolozzi, Giacomo Indiveri:
A selective attention multi--chip system with dynamic synapses and spiking neurons.
113-120
Electronic Edition (link) BibTeX
- Alexis Battle, Gal Chechik, Daphne Koller:
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks.
121-128
Electronic Edition (link) BibTeX
- Mikhail Belkin, Partha Niyogi:
Convergence of Laplacian Eigenmaps.
129-136
Electronic Edition (link) BibTeX
- Shai Ben-David, John Blitzer, Koby Crammer, Fernando Pereira:
Analysis of Representations for Domain Adaptation.
137-144
Electronic Edition (link) BibTeX
- Eli Ben-Sasson, Adam Tauman Kalai, Ehud Kalai:
An Approach to Bounded Rationality.
145-152
Electronic Edition (link) BibTeX
- Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle:
Greedy Layer-Wise Training of Deep Networks.
153-160
Electronic Edition (link) BibTeX
- Steffen Bickel, Tobias Scheffer:
Dirichlet-Enhanced Spam Filtering based on Biased Samples.
161-168
Electronic Edition (link) BibTeX
- Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto:
Detecting Humans via Their Pose.
169-176
Electronic Edition (link) BibTeX
- Oren Boiman, Michal Irani:
Similarity by Composition.
177-184
Electronic Edition (link) BibTeX
- Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller:
Denoising and Dimension Reduction in Feature Space.
185-192
Electronic Edition (link) BibTeX
- Christopher J. C. Burges, Robert Ragno, Quoc Viet Le:
Learning to Rank with Nonsmooth Cost Functions.
193-200
Electronic Edition (link) BibTeX
- Peter Carbonetto, Nando de Freitas:
Conditional mean field.
201-208
Electronic Edition (link) BibTeX
- Gavin C. Cawley, Nicola L. C. Talbot, Mark Girolami:
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation.
209-216
Electronic Edition (link) BibTeX
- Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi:
Branch and Bound for Semi-Supervised Support Vector Machines.
217-224
Electronic Edition (link) BibTeX
- Laurent Charlin, Pascal Poupart, Romy Shioda:
Automated Hierarchy Discovery for Planning in Partially Observable Environments.
225-232
Electronic Edition (link) BibTeX
- Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller:
Max-margin classification of incomplete data.
233-240
Electronic Edition (link) BibTeX
- Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers:
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model.
241-248
Electronic Edition (link) BibTeX
- Li Cheng, S. V. N. Vishwanathan, Dale Schuurmans, Shaojun Wang, Terry Caelli:
implicit Online Learning with Kernels.
249-256
Electronic Edition (link) BibTeX
- Elisabetta Chicca, Giacomo Indiveri, Rodney J. Douglas:
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons.
257-264
Electronic Edition (link) BibTeX
- Hugh A. Chipman, Edward I. George, Robert E. McCulloch:
Bayesian Ensemble Learning.
265-272
Electronic Edition (link) BibTeX
- Christian Walder, Bernhard Schölkopf, Olivier Chapelle:
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions.
273-280
Electronic Edition (link) BibTeX
- Cheng-Tao Chu, Sang Kyun Kim, Yi-An Lin, YuanYuan Yu, Gary R. Bradski, Andrew Y. Ng, Kunle Olukotun:
Map-Reduce for Machine Learning on Multicore.
281-288
Electronic Edition (link) BibTeX
- Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. Sathiya Keerthi:
Relational Learning with Gaussian Processes.
289-296
Electronic Edition (link) BibTeX
- David Cohn, Deepak Verma, Karl Pfleger:
Recursive Attribute Factoring.
297-304
Electronic Edition (link) BibTeX
- Corinna Cortes, Mehryar Mohri:
On Transductive Regression.
305-312
Electronic Edition (link) BibTeX
- Timothée Cour, Praveen Srinivasan, Jianbo Shi:
Balanced Graph Matching.
313-320
Electronic Edition (link) BibTeX
- Koby Crammer, Michael J. Kearns, Jennifer Wortman:
Learning from Multiple Sources.
321-328
Electronic Edition (link) BibTeX
- Marco Cuturi, Kenji Fukumizu:
Kernels on Structured Objects Through Nested Histograms.
329-336
Electronic Edition (link) BibTeX
- Jason V. Davis, Inderjit S. Dhillon:
Differential Entropic Clustering of Multivariate Gaussians.
337-344
Electronic Edition (link) BibTeX
- Ofer Dekel, Yoram Singer:
Support Vector Machines on a Budget.
345-352
Electronic Edition (link) BibTeX
- Eizaburo Doi, Michael S. Lewicki:
A Theory of Retinal Population Coding.
353-360
Electronic Edition (link) BibTeX
- Piotr Dollár, Serge Belongie, Vincent Rabaud:
Learning to Traverse Image Manifolds.
361-368
Electronic Edition (link) BibTeX
- John Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller:
Using Combinatorial Optimization within Max-Product Belief Propagation.
369-376
Electronic Edition (link) BibTeX
- Ran El-Yaniv, Mordechai Nisenson:
Optimal Single-Class Classification Strategies.
377-384
Electronic Edition (link) BibTeX
- Eyal Even-Dar, Michael J. Kearns:
A Small World Threshold for Economic Network Formation.
385-392
Electronic Edition (link) BibTeX
- Yu Feng, Greg Hamerly:
PG-means: learning the number of clusters in data.
393-400
Electronic Edition (link) BibTeX
- Mário A. T. Figueiredo, Dong Seon Cheng, Vittorio Murino:
Clustering Under Prior Knowledge with Application to Image Segmentation.
401-408
Electronic Edition (link) BibTeX
- Karim Filali, Jeff A. Bilmes:
Multi-dynamic Bayesian Networks.
409-416
Electronic Edition (link) BibTeX
- Andrea Frome, Yoram Singer, Jitendra Malik:
Image Retrieval and Classification Using Local Distance Functions.
417-424
Electronic Edition (link) BibTeX
- Glenn Fung, Murat Dundar, Balaji Krishnapuram, R. Bharat Rao:
Multiple Instance Learning for Computer Aided Diagnosis.
425-432
Electronic Edition (link) BibTeX
- Stanislav Funiak, Carlos Guestrin, Mark A. Paskin, Rahul Sukthankar:
Distributed Inference in Dynamical Systems.
433-440
Electronic Edition (link) BibTeX
- Alborz Geramifard, Michael H. Bowling, Martin Zinkevich, Richard S. Sutton:
iLSTD: Eligibility Traces and Convergence Analysis.
441-448
Electronic Edition (link) BibTeX
- Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand:
A PAC-Bayes Risk Bound for General Loss Functions.
449-456
Electronic Edition (link) BibTeX
- Mohammad Ghavamzadeh, Yaakov Engel:
Bayesian Policy Gradient Algorithms.
457-464
Electronic Edition (link) BibTeX
- Mark Girolami, Mingjun Zhong:
Data Integration for Classification Problems Employing Gaussian Process Priors.
465-472
Electronic Edition (link) BibTeX
- Amir Globerson, Tommi Jaakkola:
Approximate inference using planar graph decomposition.
473-480
Electronic Edition (link) BibTeX
- Carla P. Gomes, Ashish Sabharwal, Bart Selman:
Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints.
481-488
Electronic Edition (link) BibTeX
- Geoffrey J. Gordon:
No-regret Algorithms for Online Convex Programs.
489-496
Electronic Edition (link) BibTeX
- Amit Gore, Shantanu Chakrabartty:
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis.
497-504
Electronic Edition (link) BibTeX
- Kristen Grauman, Trevor Darrell:
Approximate Correspondences in High Dimensions.
505-512
Electronic Edition (link) BibTeX
- Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola:
A Kernel Method for the Two-Sample-Problem.
513-520
Electronic Edition (link) BibTeX
- David B. Grimes, Daniel R. Rashid, Rajesh P. N. Rao:
Learning Nonparametric Models for Probabilistic Imitation.
521-528
Electronic Edition (link) BibTeX
- Samuel S. Gross, Olga Russakovsky, Chuong B. Do, Serafim Batzoglou:
Training Conditional Random Fields for Maximum Labelwise Accuracy.
529-536
Electronic Edition (link) BibTeX
- Moritz Grosse-Wentrup, Klaus Gramann, Martin Buss:
Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces.
537-544
Electronic Edition (link) BibTeX
- Jonathan Harel, Christof Koch, Pietro Perona:
Graph-Based Visual Saliency.
545-552
Electronic Edition (link) BibTeX
- Gloria Haro, Gregory Randall, Guillermo Sapiro:
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds.
553-560
Electronic Edition (link) BibTeX
- Matthias Hein, Markus Maier:
Manifold Denoising.
561-568
Electronic Edition (link) BibTeX
- Ralf Herbrich, Tom Minka, Thore Graepel:
TrueSkillTM: A Bayesian Skill Rating System.
569-576
Electronic Edition (link) BibTeX
- Mark Herbster, Massimiliano Pontil:
Prediction on a Graph with a Perceptron.
577-584
Electronic Edition (link) BibTeX
- Alfred O. Hero III:
Geometric entropy minimization (GEM) for anomaly detection and localization.
585-592
Electronic Edition (link) BibTeX
- John R. Hershey, Trausti T. Kristjansson, Steven J. Rennie, Peder A. Olsen:
Single Channel Speech Separation Using Factorial Dynamics.
593-600
Electronic Edition (link) BibTeX
- Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf:
Correcting Sample Selection Bias by Unlabeled Data.
601-608
Electronic Edition (link) BibTeX
- Ke Huang, Selin Aviyente:
Sparse Representation for Signal Classification.
609-616
Electronic Edition (link) BibTeX
- Ling Huang, XuanLong Nguyen, Minos N. Garofalakis, Michael I. Jordan, Anthony D. Joseph, Nina Taft:
In-Network PCA and Anomaly Detection.
617-624
Electronic Edition (link) BibTeX
- Alexander T. Ihler, Padhraic Smyth:
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models.
625-632
Electronic Edition (link) BibTeX
- Robert Jenssen, Torbjørn Eltoft, Mark Girolami, Deniz Erdogmus:
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm.
633-640
Electronic Edition (link) BibTeX
- Mark Johnson, Thomas L. Griffiths, Sharon Goldwater:
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models.
641-648
Electronic Edition (link) BibTeX
- Amit Kagian, Gideon Dror, Tommer Leyvand, Daniel Cohen-Or, Eytan Ruppin:
A Humanlike Predictor of Facial Attractiveness.
649-656
Electronic Edition (link) BibTeX
- Anitha Kannan, John M. Winn, Carsten Rother:
Clustering appearance and shape by learning jigsaws.
657-664
Electronic Edition (link) BibTeX
- Yoshinobu Kawahara, Takehisa Yairi, Kazuo Machida:
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems.
665-672
Electronic Edition (link) BibTeX
- S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle:
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models.
673-680
Electronic Edition (link) BibTeX
- Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum:
Combining causal and similarity-based reasoning.
681-688
Electronic Edition (link) BibTeX
- Wolf Kienzle, Felix A. Wichmann, Bernhard Schölkopf, Matthias O. Franz:
A Nonparametric Approach to Bottom-Up Visual Saliency.
689-696
Electronic Edition (link) BibTeX
- Seyoung Kim, Padhraic Smyth:
Hierarchical Dirichlet Processes with Random Effects.
697-704
Electronic Edition (link) BibTeX
- Joseph M. Kimmel, Richard M. Salter, Peter J. Thomas:
An Information Theoretic Framework for Eukaryotic Gradient Sensing.
705-712
Electronic Edition (link) BibTeX
- Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass:
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons.
713-720
Electronic Edition (link) BibTeX
- Ryota Kobayashi, Shigeru Shinomoto:
Predicting spike times from subthreshold dynamics of a neuron.
721-728
Electronic Edition (link) BibTeX
- Risi Imre Kondor, Tony Jebara:
Gaussian and Wishart Hyperkernels.
729-736
Electronic Edition (link) BibTeX
- Konrad P. Körding, Joshua B. Tenenbaum:
Causal inference in sensorimotor integration.
737-744
Electronic Edition (link) BibTeX
- Konrad P. Körding, Joshua B. Tenenbaum, Reza Shadmehr:
Multiple timescales and uncertainty in motor adaptation.
745-752
Electronic Edition (link) BibTeX
- Matthias Krauledat, Michael Schröder, Benjamin Blankertz, Klaus-Robert Müller:
Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach.
753-760
Electronic Edition (link) BibTeX
- Kenichi Kurihara, Max Welling, Nikos A. Vlassis:
Accelerated Variational Dirichlet Process Mixtures.
761-768
Electronic Edition (link) BibTeX
- Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier:
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier.
769-776
Electronic Edition (link) BibTeX
- Julian Laub, Jakob Macke, Klaus-Robert Müller, Felix A. Wichmann:
Inducing Metric Violations in Human Similarity Judgements.
777-784
Electronic Edition (link) BibTeX
- Neil D. Lawrence, Guido Sanguinetti, Magnus Rattray:
Modelling transcriptional regulation using Gaussian Processes.
785-792
Electronic Edition (link) BibTeX
- Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner:
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields.
793-800
Electronic Edition (link) BibTeX
- Honglak Lee, Alexis Battle, Rajat Raina, Andrew Y. Ng:
Efficient sparse coding algorithms.
801-808
Electronic Edition (link) BibTeX
- Michael D. Lee, Ian G. Fuss, Daniel J. Navarro:
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time.
809-816
Electronic Edition (link) BibTeX
- Su-In Lee, Varun Ganapathi, Daphne Koller:
Efficient Structure Learning of Markov Networks using $L_1$-Regularization.
817-824
Electronic Edition (link) BibTeX
- Steven Lemm, Christin Schäfer, Gabriel Curio:
Aggregating Classification Accuracy across Time: Application to Single Trial EEG.
825-832
Electronic Edition (link) BibTeX
- Máté Lengyel, Peter Dayan:
Uncertainty, phase and oscillatory hippocampal recall.
833-840
Electronic Edition (link) BibTeX
- Anat Levin:
Blind Motion Deblurring Using Image Statistics.
841-848
Electronic Edition (link) BibTeX
- Roger Levy, T. Florian Jaeger:
Speakers optimize information density through syntactic reduction.
849-856
Electronic Edition (link) BibTeX
- Jeremy Lewi, Robert J. Butera, Liam Paninski:
Real-time adaptive information-theoretic optimization of neurophysiology experiments.
857-864
Electronic Edition (link) BibTeX
- Ling Li, Hsuan-Tien Lin:
Ordinal Regression by Extended Binary Classification.
865-872
Electronic Edition (link) BibTeX
- Ping Li, Kenneth Ward Church, Trevor Hastie:
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data.
873-880
Electronic Edition (link) BibTeX
- Wenye Li, Kin-Hong Lee, Kwong-Sak Leung:
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space.
881-888
Electronic Edition (link) BibTeX
- Yi Li, Philip M. Long:
Learnability and the doubling dimension.
889-896
Electronic Edition (link) BibTeX
- Jussi T. Lindgren, Aapo Hyvärinen:
Emergence of conjunctive visual features by quadratic independent component analysis.
897-904
Electronic Edition (link) BibTeX
- Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin, Sean Cutler:
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure.
905-912
Electronic Edition (link) BibTeX
- Ce Liu, William T. Freeman, Edward H. Adelson:
Analysis of Contour Motions.
913-920
Electronic Edition (link) BibTeX
- Philip M. Long, Rocco A. Servedio:
Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions.
921-928
Electronic Edition (link) BibTeX
- Le Lu, Gregory D. Hager:
Dynamic Foreground/Background Extraction from Images and Videos using Random Patches.
929-936
Electronic Edition (link) BibTeX
- Gediminas Luksys, Jérémie Knüsel, Denis Sheynikhovich, Carmen Sandi, Wulfram Gerstner:
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning.
937-944
Electronic Edition (link) BibTeX
- Siwei Lyu, Eero P. Simoncelli:
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures.
945-952
Electronic Edition (link) BibTeX
- Michael I. Mandel, Daniel P. W. Ellis, Tony Jebara:
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments.
953-960
Electronic Edition (link) BibTeX
- Yi Mao, Guy Lebanon:
Isotonic Conditional Random Fields and Local Sentiment Flow.
961-968
Electronic Edition (link) BibTeX
- Graham McNeill, Sethu Vijayakumar:
Part-based Probabilistic Point Matching using Equivalence Constraints.
969-976
Electronic Edition (link) BibTeX
- Edward Meeds, Zoubin Ghahramani, Radford M. Neal, Sam T. Roweis:
Modeling Dyadic Data with Binary Latent Factors.
977-984
Electronic Edition (link) BibTeX
- Frank Moosmann, Bill Triggs, Frédéric Jurie:
Fast Discriminative Visual Codebooks using Randomized Clustering Forests.
985-992
Electronic Edition (link) BibTeX
- Michael C. Mozer, Michael Jones, Michael Shettel:
Context Effects in Category Learning: An Investigation of Four Probabilistic Models.
993-1000
Electronic Edition (link) BibTeX
- Chris Murray, Geoffrey J. Gordon:
Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games.
1001-1008
Electronic Edition (link) BibTeX
- Andriy Myronenko, Xubo B. Song, Miguel Á. Carreira-Perpiñán:
Non-rigid point set registration: Coherent Point Drift.
1009-1016
Electronic Edition (link) BibTeX
- Boaz Nadler, Meirav Galun:
Fundamental Limitations of Spectral Clustering.
1017-1024
Electronic Edition (link) BibTeX
- Hariharan Narayanan, Mikhail Belkin, Partha Niyogi:
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts.
1025-1032
Electronic Edition (link) BibTeX
- Daniel J. Navarro, Thomas L. Griffiths:
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments.
1033-1040
Electronic Edition (link) BibTeX
- Danko Nikolic, Stefan Häusler, Wolf Singer, Wolfgang Maass:
Temporal dynamics of information content carried by neurons in the primary visual cortex.
1041-1048
Electronic Edition (link) BibTeX
- Lars Omlor, Martin A. Giese:
Blind source separation for over-determined delayed mixtures.
1049-1056
Electronic Edition (link) BibTeX
- Thomas Ott, Ruedi Stoop:
The Neurodynamics of Belief Propagation on Binary Markov Random Fields.
1057-1064
Electronic Edition (link) BibTeX
- Sandeep Pandey, Christopher Olston:
Handling Advertisements of Unknown Quality in Search Advertising.
1065-1072
Electronic Edition (link) BibTeX
- Sridevi Parise, Max Welling:
Bayesian Model Scoring in Markov Random Fields.
1073-1080
Electronic Edition (link) BibTeX
- Luis Pérez-Breva, Luis E. Ortiz, Chen-Hsiang Yeang, Tommi Jaakkola:
Game Theoretic Algorithms for Protein-DNA binding.
1081-1088
Electronic Edition (link) BibTeX
- Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts, Andrew Zisserman:
Bayesian Image Super-resolution, Continued.
1089-1096
Electronic Edition (link) BibTeX
- Yuan (Alan) Qi, Tommi Jaakkola:
Parameter Expanded Variational Bayesian Methods.
1097-1104
Electronic Edition (link) BibTeX
- Michael Rabbat, Mário A. T. Figueiredo, Robert D. Nowak:
Inferring Network Structure from Co-Occurrences.
1105-1112
Electronic Edition (link) BibTeX
- Ali Rahimi, Ben Recht:
Unsupervised Regression with Applications to Nonlinear System Identification.
1113-1120
Electronic Edition (link) BibTeX
- Alexander Rakhlin, Andrea Caponnetto:
Stability of $K$-Means Clustering.
1121-1128
Electronic Edition (link) BibTeX
- Deva Ramanan:
Learning to parse images of articulated bodies.
1129-1136
Electronic Edition (link) BibTeX
- Marc'Aurelio Ranzato, Christopher S. Poultney, Sumit Chopra, Yann LeCun:
Efficient Learning of Sparse Representations with an Energy-Based Model.
1137-1144
Electronic Edition (link) BibTeX
- Martin Raphan, Eero P. Simoncelli:
Learning to be Bayesian without Supervision.
1145-1152
Electronic Edition (link) BibTeX
- Nathan D. Ratliff, David M. Bradley, J. Andrew Bagnell, Joel Chestnutt:
Boosting Structured Prediction for Imitation Learning.
1153-1160
Electronic Edition (link) BibTeX
- Gunnar Rätsch, Sören Sonnenburg:
Large Scale Hidden Semi-Markov SVMs.
1161-1168
Electronic Edition (link) BibTeX
- Silvia Richter, Douglas Aberdeen, Jin Yu:
Natural Actor-Critic for Road Traffic Optimisation.
1169-1176
Electronic Edition (link) BibTeX
- Konrad Rieck, Pavel Laskov, Sören Sonnenburg:
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees.
1177-1184
Electronic Edition (link) BibTeX
- Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka, Joshua B. Tenenbaum:
Learning annotated hierarchies from relational data.
1185-1192
Electronic Edition (link) BibTeX
- Benjamin I. P. Rubinstein, Peter L. Bartlett, J. Hyam Rubinstein:
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds.
1193-1200
Electronic Edition (link) BibTeX
- Jason M. Samonds, Brian Potetz, Tai Sing Lee:
Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation.
1201-1208
Electronic Edition (link) BibTeX
- Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Andrew Y. Ng:
Robotic Grasping of Novel Objects.
1209-1216
Electronic Edition (link) BibTeX
- Paul R. Schrater, Rashmi Sundareswara:
Theory and Dynamics of Perceptual Bistability.
1217-1224
Electronic Edition (link) BibTeX
- Nicol N. Schraudolph, Simon Günter, S. V. N. Vishwanathan:
Fast Iterative Kernel PCA.
1225-1232
Electronic Edition (link) BibTeX
- Matthias Seeger:
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods.
1233-1240
Electronic Edition (link) BibTeX
- Yevgeny Seldin, Noam Slonim, Naftali Tishby:
Information Bottleneck for Non Co-Occurrence Data.
1241-1248
Electronic Edition (link) BibTeX
- Fei Sha, Lawrence K. Saul:
Large Margin Hidden Markov Models for Automatic Speech Recognition.
1249-1256
Electronic Edition (link) BibTeX
- Gregory Shakhnarovich, Sung-Phil Kim, Michael J. Black:
Nonlinear physically-based models for decoding motor-cortical population activity.
1257-1264
Electronic Edition (link) BibTeX
- Shai Shalev-Shwartz, Yoram Singer:
Convex Repeated Games and Fenchel Duality.
1265-1272
Electronic Edition (link) BibTeX
- Honghao Shan, Lingyun Zhang, Garrison W. Cottrell:
Recursive ICA.
1273-1280
Electronic Edition (link) BibTeX
- Christian R. Shelton, Wesley Huie, Kin Fai Kan:
Chained Boosting.
1281-1288
Electronic Edition (link) BibTeX
- Hideaki Shimazaki, Shigeru Shinomoto:
A recipe for optimizing a time-histogram.
1289-1296
Electronic Edition (link) BibTeX
- Tobias Sing, Niko Beerenwinkel:
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype.
1297-1304
Electronic Edition (link) BibTeX
- Kyung-Ah Sohn, Eric P. Xing:
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space.
1305-1312
Electronic Edition (link) BibTeX
- Florian Steinke, Bernhard Schölkopf, Volker Blanz:
Learning Dense 3D Correspondence.
1313-1320
Electronic Edition (link) BibTeX
- Ingo Steinwart, Don R. Hush, Clint Scovel:
An Oracle Inequality for Clipped Regularized Risk Minimizers.
1321-1328
Electronic Edition (link) BibTeX
- Amos J. Storkey, Enrico Simonotto, Heather Whalley, Stephen Lawrie, Lawrence Murray, David McGonigle:
Learning Structural Equation Models for fMRI.
1329-1336
Electronic Edition (link) BibTeX
- Amos J. Storkey, Masashi Sugiyama:
Mixture Regression for Covariate Shift.
1337-1344
Electronic Edition (link) BibTeX
- Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis:
Modeling Human Motion Using Binary Latent Variables.
1345-1352
Electronic Edition (link) BibTeX
- Yee Whye Teh, David Newman, Max Welling:
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation.
1353-1360
Electronic Edition (link) BibTeX
- Fabian J. Theis:
Towards a general independent subspace analysis.
1361-1368
Electronic Edition (link) BibTeX
- Emanuel Todorov:
Linearly-solvable Markov decision problems.
1369-1376
Electronic Edition (link) BibTeX
- Ryota Tomioka, Kazuyuki Aihara, Klaus-Robert Müller:
Logistic Regression for Single Trial EEG Classification.
1377-1384
Electronic Edition (link) BibTeX
- Lorenzo Torresani, Kuang-chih Lee:
Large Margin Component Analysis.
1385-1392
Electronic Edition (link) BibTeX
- Lorenzo Torresani, Peggy Hackney, Christoph Bregler:
Learning Motion Style Synthesis from Perceptual Observations.
1393-1400
Electronic Edition (link) BibTeX
- Ivor W. Tsang, James T. Kwok:
Large-Scale Sparsified Manifold Regularization.
1401-1408
Electronic Edition (link) BibTeX
- Joseph P. Turian, Benjamin Wellington, I. Dan Melamed:
Scalable Discriminative Learning for Natural Language Parsing and Translation.
1409-1416
Electronic Edition (link) BibTeX
- Hamed Valizadegan, Rong Jin:
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning.
1417-1424
Electronic Edition (link) BibTeX
- Andrea Vedaldi, Stefano Soatto:
A Complexity-Distortion Approach to Joint Pattern Alignment.
1425-1432
Electronic Edition (link) BibTeX
- René Vidal:
Online Clustering of Moving Hyperplanes.
1433-1440
Electronic Edition (link) BibTeX
- Jade P. Vinson, David DeCaprio, Matthew D. Pearson, Stacey Luoma, James E. Galagan:
Comparative Gene Prediction using Conditional Random Fields.
1441-1448
Electronic Edition (link) BibTeX
- S. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph:
Fast Computation of Graph Kernels.
1449-1456
Electronic Edition (link) BibTeX
- Thomas Voegtlin:
Temporal Coding using the Response Properties of Spiking Neurons.
1457-1464
Electronic Edition (link) BibTeX
- Martin J. Wainwright, Pradeep Ravikumar, John D. Lafferty:
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression.
1465-1472
Electronic Edition (link) BibTeX
- Yingxue Wang, Rodney J. Douglas, Shih-Chii Liu:
Attentional Processing on a Spike-Based VLSI Neural Network.
1473-1480
Electronic Edition (link) BibTeX
- Manfred K. Warmuth, Dima Kuzmin:
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension.
1481-1488
Electronic Edition (link) BibTeX
- Kilian Q. Weinberger, Fei Sha, Qihui Zhu, Lawrence K. Saul:
Graph Laplacian Regularization for Large-Scale Semidefinite Programming.
1489-1496
Electronic Edition (link) BibTeX
- Oliver Williams:
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo.
1497-1504
Electronic Edition (link) BibTeX
- David P. Wipf, Rey Ramírez, Jason A. Palmer, Scott Makeig, Bhaskar D. Rao:
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization.
1505-1512
Electronic Edition (link) BibTeX
- Frank Wood, Thomas L. Griffiths:
Particle Filtering for Nonparametric Bayesian Matrix Factorization.
1513-1520
Electronic Edition (link) BibTeX
- Lin Wu, Pierre Baldi:
A Scalable Machine Learning Approach to Go.
1521-1528
Electronic Edition (link) BibTeX
- Mingrui Wu, Bernhard Schölkopf:
A Local Learning Approach for Clustering.
1529-1536
Electronic Edition (link) BibTeX
- Huan Xu, Shie Mannor:
The Robustness-Performance Tradeoff in Markov Decision Processes.
1537-1544
Electronic Edition (link) BibTeX
- Angela J. Yu:
Optimal Change-Detection and Spiking Neurons.
1545-1552
Electronic Edition (link) BibTeX
- Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu:
Stochastic Relational Models for Discriminative Link Prediction.
1553-1560
Electronic Edition (link) BibTeX
- Ron Zass, Amnon Shashua:
Nonnegative Sparse PCA.
1561-1568
Electronic Edition (link) BibTeX
- Ron Zass, Amnon Shashua:
Doubly Stochastic Normalization for Spectral Clustering.
1569-1576
Electronic Edition (link) BibTeX
- Kai Zhang, James T. Kwok:
Simplifying Mixture Models through Function Approximation.
1577-1584
Electronic Edition (link) BibTeX
- Xinhua Zhang, Wee Sun Lee:
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms.
1585-1592
Electronic Edition (link) BibTeX
- Zhenyue Zhang, Jing Wang:
MLLE: Modified Locally Linear Embedding Using Multiple Weights.
1593-1600
Electronic Edition (link) BibTeX
- Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf:
Learning with Hypergraphs: Clustering, Classification, and Embedding.
1601-1608
Electronic Edition (link) BibTeX
- Zhi-Hua Zhou, Min-Ling Zhang:
Multi-Instance Multi-Label Learning with Application to Scene Classification.
1609-1616
Electronic Edition (link) BibTeX
- Long Zhu, Yuanhao Chen, Alan L. Yuille:
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing.
1617-1624
Electronic Edition (link) BibTeX
- Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data.
1625-1632
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:31:26 2009
by Michael Ley (ley@uni-trier.de)
