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» Mathematical formulations of Hebbian learning
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ML
2002
ACM
167views Machine Learning» more  ML 2002»
13 years 7 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
KDD
2005
ACM
117views Data Mining» more  KDD 2005»
14 years 8 months ago
Rule extraction from linear support vector machines
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
Glenn Fung, Sathyakama Sandilya, R. Bharat Rao
RECOMB
2007
Springer
14 years 8 months ago
A Feature-Based Approach to Modeling Protein-DNA Interactions
Transcription factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position spe...
Eilon Sharon, Eran Segal
NIPS
2001
13 years 9 months ago
Constructing Distributed Representations Using Additive Clustering
If the promise of computational modeling is to be fully realized in higherlevel cognitive domains such as language processing, principled methods must be developed to construct th...
Wheeler Ruml
TVCG
2010
208views more  TVCG 2010»
13 years 6 months ago
Example-Based Human Motion Denoising
—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient human mo...
Hui Lou, Jinxiang Chai