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» Some Discriminant-Based PAC Algorithms
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COLT
2001
Springer
13 years 12 months ago
On Using Extended Statistical Queries to Avoid Membership Queries
The Kushilevitz-Mansour (KM) algorithm is an algorithm that finds all the “large” Fourier coefficients of a Boolean function. It is the main tool for learning decision trees ...
Nader H. Bshouty, Vitaly Feldman
AI
2002
Springer
13 years 7 months ago
Learning cost-sensitive active classifiers
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
Russell Greiner, Adam J. Grove, Dan Roth
JCC
2010
113views more  JCC 2010»
13 years 5 months ago
MDLab: A molecular dynamics simulation prototyping environment
Molecular dynamics (MD) simulation involves solving Newton’s equations of motion for a system of atoms, by calculating forces and updating atomic positions and velocities over a...
Trevor M. Cickovski, Santanu Chatterjee, Jacob Wen...
ECML
2006
Springer
13 years 11 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
STACS
1999
Springer
13 years 11 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann