| 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 |