Todd K. Leen

	2012
30		Todd K. Leen, Robert Friel: Stochastic Perturbation Methods for Spike-Timing-Dependent Plasticity. Neural Computation 24(5): 1109-1146 (2012)
	2011
29		Todd K. Leen, Robert Friel: Perturbation theory for stochastic learning dynamics. IJCNN 2011: 2031-2038
28		Zhengdong Lu, Todd K. Leen, Jeffrey Kaye: Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals. Neural Computation 23(9): 2390-2420 (2011)
	2008
27		Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen: Detecting mild cognitive loss with continuous monitoring of medication adherence. ICASSP 2008: 609-612
26		Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus: A reproducing kernel Hilbert space framework for pairwise time series distances. ICML 2008: 624-631
25		Zhengdong Lu, Todd K. Leen, Jeffrey Kaye: Hierarchical Fisher Kernels for Longitudinal Data. NIPS 2008: 1961-1968
	2007
24		Zhengdong Lu, Todd K. Leen: Penalized Probabilistic Clustering. Neural Computation 19(6): 1528-1567 (2007)
23		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)
22		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
21		Zhengdong Lu, Todd K. Leen: Semi-supervised Learning with Penalized Probabilistic Clustering. NIPS 2004
20		Cynthia Archer, Todd K. Leen: A generalized Lloyd-type algorithm for adaptive transform coder design. IEEE Transactions on Signal Processing 52(1): 255-264 (2004)
	2003
19		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		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		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		Nanda Kambhatla, Todd K. Leen: Dimension Reduction by Local Principal Component Analysis. Neural Computation 9(7): 1493-1516 (1997)
	1996
10		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		Todd K. Leen: From Data Distributions to Regularization in Invariant Learning. NIPS 1994: 223-230
7		Nanda Kambhatla, Todd K. Leen: Classifying with Gaussian Mixtures and Clusters. NIPS 1994: 681-688
	1993
6		Nanda Kambhatla, Todd K. Leen: Fast Non-Linear Dimension Reduction. NIPS 1993: 152-159
5		Asriel U. Levin, Todd K. Leen, John E. Moody: Fast Pruning Using Principal Components. NIPS 1993: 35-42
4		Todd K. Leen, Genevieve B. Orr: Optimal Stochastic Search and Adaptive Momentum. NIPS 1993: 477-484
	1992
3		Todd K. Leen, John E. Moody: Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria. NIPS 1992: 451-458
2		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		Todd K. Leen: Dynamics of Learning in Recurrent Feature-Discovery Networks. NIPS 1990: 70-76

Coauthor Index

1	Cynthia Archer	[15] [17] [19] [20]
2	António M. Baptista	[19] [22] [23]
3	Etienne Barnard	[14]
4	Thomas G. Dietterich	[18]
5	Deniz Erdogmus	[26] [27]
6	Robert Friel	[29] [30]
7	Sergey Frolov	[22] [23]
8	Yonghong Huang	[26] [27]
9	Nanda Kambhatla	[6] [7] [11]
10	Jeffrey Kaye	[25] [28]
11	Asriel U. Levin	[5]
12	Zhengdong Lu	[21] [22] [23] [24] [25] [26] [27] [28]
13	Rudolph van der Merwe	[22] [23]
14	John E. Moody	[3] [5]
15	Klaus-Robert Müller	[16]
16	Genevieve B. Orr	[2] [4] [10]
17	Misha Pavel	[13]
18	David Saad	[12]
19	Bernhard Schottky	[12]
20	Ravi K. Sharma	[13]
21	Sara A. Solla	[16]
22	Gerald Tesauro	[9]
23	David S. Touretzky	[9]
24	Volker Tresp	[18]
25	Wei Wei	[14]

Colors in the list of coauthors

Last update Mon Jun 4 20:40:43 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page