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» Machine Learning with Data Dependent Hypothesis Classes
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GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 2 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
14 years 3 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville
ICML
2006
IEEE
14 years 9 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
ICPR
2006
IEEE
14 years 9 months ago
Finding Rule Groups to Classify High Dimensional Gene Expression Datasets
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
Jiyuan An, Yi-Ping Phoebe Chen
ICML
2006
IEEE
14 years 9 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...