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ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
16 years 1 months ago
Speculative Markov Blanket Discovery for Optimal Feature Selection
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
Sandeep Yaramakala, Dimitris Margaritis
GECON
2009
Springer
96views Business» more  GECON 2009»
15 years 11 months ago
A QoS-Based Selection Mechanism Exploiting Business Relationships in Workflows
This paper deals with the problem of selecting service instances to execute workflow processes by not only taking into consideration Quality of Service (QoS) constraints, posed by ...
Dimosthenis Kyriazis, Konstantinos Tserpes, Ioanni...
FLAIRS
2008
15 years 10 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
UAI
2008
15 years 9 months ago
Observation Subset Selection as Local Compilation of Performance Profiles
Deciding what to sense is a crucial task, made harder by dependencies and by a nonadditive utility function. We develop approximation algorithms for selecting an optimal set of me...
Yan Radovilsky, Solomon Eyal Shimony
NIPS
2003
15 years 9 months ago
Learning a Rare Event Detection Cascade by Direct Feature Selection
Face detection is a canonical example of a rare event detection problem, in which target patterns occur with much lower frequency than nontargets. Out of millions of face-sized wi...
Jianxin Wu, James M. Rehg, Matthew D. Mullin