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JMLR
2012
13 years 6 months ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
ICSE
1993
IEEE-ACM
15 years 8 months ago
"...And Nothing Else Changes": The Frame Problem in Procedure Specifications
We give examples of situations where formal specifications of procedures in the standard pre/postcondition style become lengthy, cumbersome and difficult to change, a problem whic...
Alexander Borgida, John Mylopoulos, Raymond Reiter
AAAI
2006
15 years 5 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
15 years 2 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
ICWS
2007
IEEE
15 years 5 months ago
Reputation-Enhanced QoS-based Web Services Discovery
With an increasing number of Web services providing similar functionalities, Quality of Service (QoS) is becoming an important criterion for selection of the best available servic...
Ziqiang Xu, Patrick Martin, Wendy Powley, Farhana ...