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ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 7 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
PAMI
2008
208views more  PAMI 2008»
13 years 7 months ago
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
IJCINI
2007
112views more  IJCINI 2007»
13 years 7 months ago
Neo-Symbiosis: The Next Stage in the Evolution of Human Information Interaction
The purpose of this paper is to re-address the vision of human-computer symbiosis as originally expressed by J.C.R. Licklider nearly a half-century ago and to argue for the releva...
Douglas Griffith, Frank L. Greitzer
IJCSS
2007
133views more  IJCSS 2007»
13 years 7 months ago
Synthesis of Read-Once Digital Hardware with Reduced Energy Delay Product
This paper presents a low power driven synthesis framework for the unique class of nonregenerative Boolean Read-Once Functions (BROF). A two-pronged approach is adopted, where the...
P. Balasubramanian, S. Theja
IJHPCA
2007
116views more  IJHPCA 2007»
13 years 7 months ago
Pricing for Utility-Driven Resource Management and Allocation in Clusters
Users perceive varying levels of utility for each different job completed by the cluster. Therefore, there is a need for existing cluster Resource Management Systems (RMS) to prov...
Chee Shin Yeo, Rajkumar Buyya