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» Maximum entropy methods for biological sequence modeling
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ML
2007
ACM
156views Machine Learning» more  ML 2007»
13 years 8 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
TCBB
2008
93views more  TCBB 2008»
13 years 9 months ago
2SNP: Scalable Phasing Method for Trios and Unrelated Individuals
Emerging microarray technologies allow affordable typing of very long genome sequences. A key challenge in analyzing of such huge amount of data is scalable and accurate computatio...
Dumitru Brinza, Alexander Zelikovsky
CVPR
2003
IEEE
14 years 11 months ago
Video-Based Face Recognition Using Probabilistic Appearance Manifolds
This paper presents a novel method to model and recognize human faces in video sequences. Each registered person is represented by a low-dimensional appearance manifold in the amb...
Kuang-Chih Lee, Jeffrey Ho, Ming-Hsuan Yang, David...
RECOMB
2007
Springer
14 years 9 months ago
Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation
We present a technique for approximating the free energy of protein structures using Generalized Belief Propagation (GBP). The accuracy and utility of these estimates are then demo...
Hetunandan Kamisetty, Eric P. Xing, Christopher Ja...
PR
2010
147views more  PR 2010»
13 years 7 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani