1034 search results - page 92 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
CIKM
2011
Springer
13 years 9 months ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
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JUCS
2008
14 years 9 months ago
2008
: The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
ISSRE
2007
IEEE
14 years 11 months ago
2007
IEEE
This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high probability of fault. The s...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
This paper extends previous work on skewing, an approach to problematic functions in decision tree induction. The previous algorithms were applicable only to functions of binary v...