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» Optimization of Machine Descriptions for Efficient Use
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KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 8 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
ICDE
1999
IEEE
151views Database» more  ICDE 1999»
14 years 9 months ago
Data Integration by Describing Sources with Constraint Databases
We develop a data integration approach for the efficient evaluation of queries over autonomous source databases. The approach is based on some novel applications and extensions of...
Xun Cheng, Guozhu Dong, Tzekwan Lau, Jianwen Su
CODES
2009
IEEE
13 years 11 months ago
TotalProf: a fast and accurate retargetable source code profiler
Profilers play an important role in software/hardware design, optimization, and verification. Various approaches have been proposed to implement profilers. The most widespread app...
Lei Gao, Jia Huang, Jianjiang Ceng, Rainer Leupers...
ICML
2007
IEEE
14 years 8 months ago
Reinforcement learning by reward-weighted regression for operational space control
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
Jan Peters, Stefan Schaal
ICML
2005
IEEE
14 years 8 months ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos