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Todd K. Leen
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2010 – 2019
- 2018
- [j14]Jamshid Sourati
, Murat Akçakaya, Deniz Erdogmus, Todd K. Leen, Jennifer G. Dy:
A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 2023-2029 (2018) - 2017
- [j13]Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy:
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning. J. Mach. Learn. Res. 18: 34:1-34:41 (2017) - 2016
- [j12]Jamshid Sourati, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus:
Classification Active Learning Based on Mutual Information. Entropy 18(2): 51 (2016) - [c28]Jamshid Sourati, Steven C. Kazmierczak, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus:
Assessing subsets of analytes in context of detecting laboratory errors. EMBC 2016: 5793-5796 - [i1]Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy:
Asymptotic Analysis of Objectives based on Fisher Information in Active Learning. CoRR abs/1605.08798 (2016) - 2015
- [c27]Jamshid Sourati, Deniz Erdogmus, Murat Akçakaya, Steven C. Kazmierczak, Todd K. Leen:
A novel delta check method for detecting laboratory errors. MLSP 2015: 1-6 - 2012
- [j11]Todd K. Leen, Robert Friel:
Stochastic Perturbation Methods for Spike-Timing-Dependent Plasticity. Neural Comput. 24(5): 1109-1146 (2012) - [j10]Todd K. Leen, Robert Friel, David Nielsen:
Approximating distributions in stochastic learning. Neural Networks 32: 219-228 (2012) - [c26]Todd K. Leen, Deniz Erdogmus, Steven C. Kazmierczak:
Statistical error detection for clinical laboratory tests. EMBC 2012: 2720-2723 - 2011
- [j9]Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye
:
Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals. Neural Comput. 23(9): 2390-2420 (2011) - [c25]Todd K. Leen, Robert Friel:
Perturbation theory for stochastic learning dynamics. IJCNN 2011: 2031-2038 - 2010
- [j8]Patrick D. Roberts, Todd K. Leen:
Anti-Hebbian Spike-Timing-Dependent Plasticity and Adaptive Sensory Processing. Frontiers Comput. Neurosci. 4: 156 (2010) - [c24]Misha Pavel, Holly Brügge Jimison, Tamara L. Hayes, Nicole Larimer, Stuart Hagler
, Yves Vimegnon, Todd K. Leen, Umut Ozertem:
Optimizing Medication Reminders Using a Decision-Theoretic Framework. MedInfo 2010: 791-795 - [c23]Alexander Kain, Todd K. Leen:
Compression of line spectral frequency parameters using the asynchronous interpolation model. SSW 2010: 49-54
2000 – 2009
- 2008
- [c22]Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen:
Detecting mild cognitive loss with continuous monitoring of medication adherence. ICASSP 2008: 609-612 - [c21]Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus:
A reproducing kernel Hilbert space framework for pairwise time series distances. ICML 2008: 624-631 - [c20]Zhengdong Lu, Todd K. Leen, Jeffrey A. Kaye:
Hierarchical Fisher Kernels for Longitudinal Data. NIPS 2008: 1961-1968 - 2007
- [j7]Zhengdong Lu, Todd K. Leen:
Penalized Probabilistic Clustering. Neural Comput. 19(6): 1528-1567 (2007) - [j6]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) - [j5]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
- [j4]Cynthia Archer, Todd K. Leen:
A generalized Lloyd-type algorithm for adaptive transform coder design. IEEE Trans. Signal Process. 52(1): 255-264 (2004) - [c19]Zhengdong Lu, Todd K. Leen:
Semi-supervised Learning with Penalized Probabilistic Clustering. NIPS 2004: 849-856 - 2003
- [c18]Cynthia Archer, Todd K. Leen, António M. Baptista:
Parameterized Novelty Detectors for Environmental Sensor Monitoring. NIPS 2003: 619-626 - 2001
- [c17]Cynthia Archer, Todd K. Leen:
The Coding-Optimal Transform. Data Compression Conference 2001: 381-390 - [e3]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 [contents] - 2000
- [c16]Cynthia Archer, Todd K. Leen:
From Mixtures of Mixtures to Adaptive Transform Coding. NIPS 2000: 925-931 - [e2]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, ISBN 0-262-19450-3 [contents]
1990 – 1999
- 1999
- [j3]Wei Wei, Todd K. Leen, Etienne Barnard:
A Fast Histogram-Based Postprocessor That Improves Posterior Probability Estimates. Neural Comput. 11(5): 1235-1248 (1999) - [c15]Cynthia Archer, Todd K. Leen:
Optimal dimension reduction and transform coding with mixture principal components. IJCNN 1999: 916-920 - 1998
- [c14]William R. Hersh
, Todd K. Leen, P. Steve Rehfuss, Susan Malveau:
Automatic Prediction of Trauma Registry Procedure Codes from Emergency Room Dictations. MedInfo 1998: 665-669 - [c13]Ravi K. Sharma, Todd K. Leen, Misha Pavel:
Probabilistic Image Sensor Fusion. NIPS 1998: 824-830 - 1997
- [j2]Nanda Kambhatla, Todd K. Leen:
Dimension Reduction by Local Principal Component Analysis. Neural Comput. 9(7): 1493-1516 (1997) - [c12]Todd K. Leen, Bernhard Schottky, David Saad:
Two Approaches to Optimal Annealing. NIPS 1997: 301-307 - 1996
- [c11]Genevieve B. Orr, Todd K. Leen:
Using Curvature Information for Fast Stochastic Search. NIPS 1996: 606-612 - 1995
- [j1]Todd K. Leen:
From Data Distributions to Regularization in Invariant Learning. Neural Comput. 7(5): 974-981 (1995) - [e1]Gerald Tesauro, David S. Touretzky, Todd K. Leen:
Advances in Neural Information Processing Systems 7, [NIPS Conference, Denver, Colorado, USA, 1994]. MIT Press 1995 [contents] - 1994
- [c10]Todd K. Leen:
From Data Distributions to Regularization in Invariant Learning. NIPS 1994: 223-230 - [c9]Nanda Kambhatla, Todd K. Leen:
Classifying with Gaussian Mixtures and Clusters. NIPS 1994: 681-688 - 1993
- [c8]Nandakishore Kambhatla, Todd K. Leen:
Fast nonlinear dimension reduction. ICNN 1993: 1213-1218 - [c7]Asriel U. Levin, Todd K. Leen, John E. Moody:
Fast Pruning Using Principal Components. NIPS 1993: 35-42 - [c6]Nanda Kambhatla, Todd K. Leen:
Fast Non-Linear Dimension Reduction. NIPS 1993: 152-159 - [c5]Todd K. Leen, Genevieve B. Orr:
Optimal Stochastic Search and Adaptive Momentum. NIPS 1993: 477-484 - 1992
- [c4]Todd K. Leen, John E. Moody:
Weight Space Probability Densities in Stochastic Learning: I. Dynamics and Equilibria. NIPS 1992: 451-458 - [c3]Genevieve B. Orr, Todd K. Leen:
Weight Space Probability Densities in Stochastic Learning: II. Transients and Basin Hopping Times. NIPS 1992: 507-514 - 1990
- [c2]Todd K. Leen, Mike Rudnick, Dan Hammerstrom:
Hebbian feature discovery improves classifier efficiency. IJCNN 1990: 51-56 - [c1]Todd K. Leen:
Dynamics of Learning in Recurrent Feature-Discovery Networks. NIPS 1990: 70-76
Coauthor Index
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