2008 |
25 | EE | Zhengdong Lu,
Todd K. Leen,
Yonghong Huang,
Deniz Erdogmus:
A reproducing kernel Hilbert space framework for pairwise time series distances.
ICML 2008: 624-631 |
24 | EE | Zhengdong Lu,
Todd K. Leen,
Jeffrey Kaye:
Hierarchical Fisher Kernels for Longitudinal Data.
NIPS 2008: 1961-1968 |
2007 |
23 | EE | Zhengdong Lu,
Todd K. Leen:
Penalized Probabilistic Clustering.
Neural Computation 19(6): 1528-1567 (2007) |
22 | EE | Rudolph van der Merwe,
Todd K. Leen,
Zhengdong Lu,
Sergey Frolov,
António M. Baptista:
Fast neural network surrogates for very high dimensional physics-based models in computational oceanography.
Neural Networks 20(4): 462-478 (2007) |
21 | EE | Rudolph van der Merwe,
Todd K. Leen,
Zhengdong Lu,
Sergey Frolov,
António M. Baptista:
Erratum to "Fast neural network surrogates for very high dimensional physics-based models in computational oceanography" [Neural Netw. 20(4) (2007) 462-478].
Neural Networks 20(6): 761-762 (2007) |
2004 |
20 | EE | Zhengdong Lu,
Todd K. Leen:
Semi-supervised Learning with Penalized Probabilistic Clustering.
NIPS 2004 |
2003 |
19 | EE | Cynthia Archer,
Todd K. Leen,
António M. Baptista:
Parameterized Novelty Detectors for Environmental Sensor Monitoring.
NIPS 2003 |
2001 |
18 | | Todd K. Leen,
Thomas G. Dietterich,
Volker Tresp:
Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA
MIT Press 2001 |
17 | EE | Cynthia Archer,
Todd K. Leen:
The Coding-Optimal Transform.
Data Compression Conference 2001: 381-390 |
2000 |
16 | | Sara A. Solla,
Todd K. Leen,
Klaus-Robert Müller:
Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29 - December 4, 1999]
The MIT Press 2000 |
15 | | Cynthia Archer,
Todd K. Leen:
From Mixtures of Mixtures to Adaptive Transform Coding.
NIPS 2000: 925-931 |
1999 |
14 | | Wei Wei,
Todd K. Leen,
Etienne Barnard:
A Fast Histogram-Based Postprocessor That Improves Posterior Probability Estimates.
Neural Computation 11(5): 1235-1248 (1999) |
1998 |
13 | EE | Ravi K. Sharma,
Todd K. Leen,
Misha Pavel:
Probabilistic Image Sensor Fusion.
NIPS 1998: 824-830 |
1997 |
12 | | Todd K. Leen,
Bernhard Schottky,
David Saad:
Two Approaches to Optimal Annealing.
NIPS 1997 |
11 | EE | Nanda Kambhatla,
Todd K. Leen:
Dimension Reduction by Local Principal Component Analysis.
Neural Computation 9(7): 1493-1516 (1997) |
1996 |
10 | EE | Genevieve B. Orr,
Todd K. Leen:
Using Curvature Information for Fast Stochastic Search.
NIPS 1996: 606-612 |
1995 |
9 | | Gerald Tesauro,
David S. Touretzky,
Todd K. Leen:
Advances in Neural Information Processing Systems 7, [NIPS Conference, Denver, Colorado, USA, 1994]
MIT Press 1995 |
1994 |
8 | EE | Todd K. Leen:
From Data Distributions to Regularization in Invariant Learning.
NIPS 1994: 223-230 |
7 | EE | Nanda Kambhatla,
Todd K. Leen:
Classifying with Gaussian Mixtures and Clusters.
NIPS 1994: 681-688 |
1993 |
6 | EE | Nanda Kambhatla,
Todd K. Leen:
Fast Non-Linear Dimension Reduction.
NIPS 1993: 152-159 |
5 | EE | Asriel U. Levin,
Todd K. Leen,
John E. Moody:
Fast Pruning Using Principal Components.
NIPS 1993: 35-42 |
4 | EE | Todd K. Leen,
Genevieve B. Orr:
Optimal Stochastic Search and Adaptive Momentum.
NIPS 1993: 477-484 |
1992 |
3 | EE | Todd K. Leen,
John E. Moody:
Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria.
NIPS 1992: 451-458 |
2 | EE | Genevieve B. Orr,
Todd K. Leen:
Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times.
NIPS 1992: 507-514 |
1990 |
1 | EE | Todd K. Leen:
Dynamics of Learning in Recurrent Feature-Discovery Networks.
NIPS 1990: 70-76 |