1474 search results - page 47 / 295 » Using Machine Learning to Focus Iterative Optimization |
128
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Multiagent Inductive Learning is the problem that groups of agents face when they want to perform inductive learning, but the data of interest is distributed among them. This pape...
105
Voted
ALT
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
124
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ML
2007
ACM
15 years 1 months ago
2007
ACM
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
114
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AAAI
2007
15 years 4 months ago
2007
Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequat...
104
Voted
ECML
1998
Springer
15 years 6 months ago
1998
Springer
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...