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139
Voted
ATAL
2007
Springer
15 years 9 months ago
2007
Springer
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
147
Voted
CIKM
2011
Springer
14 years 3 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
146
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
In real sequence labeling tasks, statistics of many higher order features are not sufficient due to the training data sparseness, very few of them are useful. We describe Sparse H...
141
Voted
ICSE
2004
IEEE-ACM
16 years 3 months ago
2004
IEEE-ACM
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
129
Voted
DATAMINE
2002
15 years 3 months ago
2002
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...