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SDM
2008
SIAM
117views Data Mining» more  SDM 2008»
13 years 10 months ago
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Yijun Sun, Sinisa Todorovic, Steve Goodison
SODA
2008
ACM
100views Algorithms» more  SODA 2008»
13 years 10 months ago
Maintaining deforming surface meshes
We present a method to maintain a mesh approximating a deforming surface, which is specified by a dense set of sample points. We identify a reasonable motion model for which a pro...
Siu-Wing Cheng, Tamal K. Dey
AAAI
2006
13 years 10 months ago
Point-based Dynamic Programming for DEC-POMDPs
We introduce point-based dynamic programming (DP) for decentralized partially observable Markov decision processes (DEC-POMDPs), a new discrete DP algorithm for planning strategie...
Daniel Szer, François Charpillet
AIPS
2006
13 years 10 months ago
Goal Achievement in Partially Known, Partially Observable Domains
We present a decision making algorithm for agents that act in partially observable domains which they do not know fully. Making intelligent choices in such domains is very difficu...
Allen Chang, Eyal Amir
FIMI
2004
239views Data Mining» more  FIMI 2004»
13 years 10 months ago
LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets
: For a transaction database, a frequent itemset is an itemset included in at least a specified number of transactions. A frequent itemset P is maximal if P is included in no other...
Takeaki Uno, Masashi Kiyomi, Hiroki Arimura
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