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109
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ICML
2006
IEEE
16 years 1 months ago
Bayesian pattern ranking for move prediction in the game of Go
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
David H. Stern, Ralf Herbrich, Thore Graepel
106
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KDD
2009
ACM
193views Data Mining» more  KDD 2009»
16 years 1 months ago
Probabilistic frequent itemset mining in uncertain databases
Probabilistic frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied to standard "certain&quo...
Andreas Züfle, Florian Verhein, Hans-Peter Kr...
95
Voted
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 1 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
16 years 1 months ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald
VLSID
2003
IEEE
134views VLSI» more  VLSID 2003»
16 years 29 days ago
A Framework for Energy and Transient Power Reduction during Behavioral Synthesis
Abstract-- In battery driven portable applications, the minimization of energy, average power, peak power, and peak power differential are equally important to improve reliability ...
Saraju P. Mohanty, N. Ranganathan
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