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ECML
2004
Springer
13 years 10 months ago
Sensitivity Analysis of the Result in Binary Decision Trees
This paper 3 proposes a new method to qualify the result given by a decision tree when it is used as a decision aid system. When the data are numerical, we compute the distance of ...
Isabelle Alvarez
ECML
2004
Springer
13 years 10 months ago
An Analysis of Stopping and Filtering Criteria for Rule Learning
Abstract. In this paper, we investigate the properties of commonly used prepruning heuristics for rule learning by visualizing them in PN-space. PN-space is a variant of ROC-space,...
Johannes Fürnkranz, Peter A. Flach
ECML
2004
Springer
13 years 10 months ago
Learning from Message Pairs for Automatic Email Answering
Abstract. We consider the problem of learning a mapping from question to answer messages. The training data for this problem consist of pairs of messages that have been received an...
Steffen Bickel, Tobias Scheffer
ECML
2004
Springer
13 years 10 months ago
Associative Clustering
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Sa...
ECML
2004
Springer
13 years 10 months ago
Convergence and Divergence in Standard and Averaging Reinforcement Learning
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
Marco Wiering