1291 search results - page 93 / 259 » Learning Rules from Distributed Data |
149
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NLPRS
2001
Springer
15 years 7 months ago
2001
Springer
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
140
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GECCO
2007
Springer
15 years 9 months ago
2007
Springer
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
119
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ICANN
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
121
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DAGSTUHL
2004
15 years 4 months ago
2004
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
133
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KDD
2006
ACM
16 years 3 months ago
2006
ACM
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...