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ALT
2005
Springer
14 years 4 months ago
An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...
Adam Kowalczyk, Olivier Chapelle
ICCS
2007
Springer
14 years 1 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
PREMI
2005
Springer
14 years 1 months ago
Approximation Spaces in Machine Learning and Pattern Recognition
Abstract. Approximation spaces are fundamental for the rough set approach. We discuss their application in machine learning and pattern recognition.
Andrzej Skowron, Jaroslaw Stepaniuk, Roman W. Swin...
COLT
2008
Springer
13 years 9 months ago
Learning from Collective Behavior
Inspired by longstanding lines of research in sociology and related fields, and by more recent largepopulation human subject experiments on the Internet and the Web, we initiate a...
Michael Kearns, Jennifer Wortman
ALT
2010
Springer
13 years 9 months ago
Bayesian Active Learning Using Arbitrary Binary Valued Queries
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries r...
Liu Yang, Steve Hanneke, Jaime G. Carbonell