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ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
101
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ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
We generalize the classical algorithms of Valiant and Haussler for learning conjunctions and disjunctions of Boolean attributes to the problem of learning these functions over arb...
72
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ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
This paper examines the notion of symmetry in Markov decision processes (MDPs). We define symmetry for an MDP and show how it can be exploited for more effective learning in singl...