Todd K. Leen

According to our database, Todd K. Leen authored at least 41 papers between 1990 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio.

Jamshid Sourati, Murat Akçakaya, Deniz Erdogmus, Todd K. Leen, Jennifer G. Dy

IEEE Trans. Pattern Anal. Mach. Intell., 2018

2017

Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning.

Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy

J. Mach. Learn. Res., 2017

2016

Classification Active Learning Based on Mutual Information.

Jamshid Sourati, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus

Entropy, 2016

Assessing subsets of analytes in context of detecting laboratory errors.

Jamshid Sourati, Steven C. Kazmierczak, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

A novel delta check method for detecting laboratory errors.

Jamshid Sourati, Deniz Erdogmus, Murat Akçakaya, Steven C. Kazmierczak, Todd K. Leen

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2012

Approximating distributions in stochastic learning.

Todd K. Leen, Robert Friel, David Nielsen

Neural Networks, 2012

Stochastic Perturbation Methods for Spike-Timing-Dependent Plasticity.

Todd K. Leen, Robert Friel

Neural Comput., 2012

Statistical error detection for clinical laboratory tests.

Todd K. Leen, Deniz Erdogmus, Steven C. Kazmierczak

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals.

Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye

Neural Comput., 2011

Perturbation theory for stochastic learning dynamics.

Todd K. Leen, Robert Friel

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Anti-Hebbian Spike-Timing-Dependent Plasticity and Adaptive Sensory Processing.

Patrick D. Roberts, Todd K. Leen

Frontiers Comput. Neurosci., 2010

Compression of line spectral frequency parameters using the asynchronous interpolation model.

Alexander Kain, Todd K. Leen

Proceedings of the Seventh ISCA Tutorial and Research Workshop on Speech Synthesis, 2010

Optimizing Medication Reminders Using a Decision-Theoretic Framework.

Misha Pavel, Holly Brügge Jimison, Tamara L. Hayes, Nicole Larimer, Stuart Hagler, Yves Vimegnon, Todd K. Leen, Umut Ozertem

Proceedings of the MEDINFO 2010, 2010

2008

Hierarchical Fisher Kernels for Longitudinal Data.

Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A reproducing kernel Hilbert space framework for pairwise time series distances.

Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus

Proceedings of the Machine Learning, 2008

Detecting mild cognitive loss with continuous monitoring of medication adherence.

Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Erratum to "Fast neural network surrogates for very high dimensional physics-based models in computational oceanography" [Neural Netw. 20(4) (2007) 462-478].

Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu, Sergey Frolov, António M. Baptista

Neural Networks, 2007

Fast neural network surrogates for very high dimensional physics-based models in computational oceanography.

Rudolph van der Merwe, Todd K. Leen, Zhengdong Lu, Sergey Frolov, António M. Baptista

Neural Networks, 2007

Penalized Probabilistic Clustering.

Zhengdong Lu, Todd K. Leen

Neural Comput., 2007

2004

A generalized Lloyd-type algorithm for adaptive transform coder design.

Cynthia Archer, Todd K. Leen

IEEE Trans. Signal Process., 2004

Semi-supervised Learning with Penalized Probabilistic Clustering.

Zhengdong Lu, Todd K. Leen

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

Parameterized Novelty Detectors for Environmental Sensor Monitoring.

Cynthia Archer, Todd K. Leen, António M. Baptista

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2001

The Coding-Optimal Transform.

Cynthia Archer, Todd K. Leen

Proceedings of the Data Compression Conference, 2001

2000

From Mixtures of Mixtures to Adaptive Transform Coding.

Cynthia Archer, Todd K. Leen

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

A Fast Histogram-Based Postprocessor That Improves Posterior Probability Estimates.

Wei Wei, Todd K. Leen, Etienne Barnard

Neural Comput., 1999

Optimal dimension reduction and transform coding with mixture principal components.

Cynthia Archer, Todd K. Leen

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Probabilistic Image Sensor Fusion.

Ravi K. Sharma, Todd K. Leen, Misha Pavel

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Automatic Prediction of Trauma Registry Procedure Codes from Emergency Room Dictations.

William R. Hersh, Todd K. Leen, P. Steve Rehfuss, Susan Malveau

Proceedings of the MEDINFO '98, 1998

1997

Dimension Reduction by Local Principal Component Analysis.

Nanda Kambhatla, Todd K. Leen

Neural Comput., 1997

Two Approaches to Optimal Annealing.

Todd K. Leen, Bernhard Schottky, David Saad

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Using Curvature Information for Fast Stochastic Search.

Genevieve B. Orr, Todd K. Leen

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

From Data Distributions to Regularization in Invariant Learning.

Todd K. Leen

Neural Comput., 1995

1994

Classifying with Gaussian Mixtures and Clusters.

Nanda Kambhatla, Todd K. Leen

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993

Fast Pruning Using Principal Components.

Asriel U. Levin, Todd K. Leen, John E. Moody

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Optimal Stochastic Search and Adaptive Momentum.

Todd K. Leen, Genevieve B. Orr

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Fast Non-Linear Dimension Reduction.

Nanda Kambhatla, Todd K. Leen

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Fast nonlinear dimension reduction.

Nandakishore Kambhatla, Todd K. Leen

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992

Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times.

Genevieve B. Orr, Todd K. Leen

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria.

Todd K. Leen, John E. Moody

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1990

Dynamics of Learning in Recurrent Feature-Discovery Networks.

Todd K. Leen

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Hebbian feature discovery improves classifier efficiency.

Todd K. Leen, Mike Rudnick, Dan Hammerstrom

Proceedings of the IJCNN 1990, 1990