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98
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ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 18 days 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....
IFL
2005
Springer
103views Formal Methods» more  IFL 2005»
15 years 6 months ago
Accurate Step Counting
Abstract Starting with an evaluator for a language, an abstract machine for the same language can be mechanically derived using successive program transformations. This has relevan...
Catherine Hope, Graham Hutton
105
Voted
ACL
2007
15 years 2 months ago
Moses: Open Source Toolkit for Statistical Machine Translation
We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decodi...
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris ...
108
Voted
CEC
2007
IEEE
15 years 7 months ago
Concerning the potential of evolutionary support vector machines
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...
Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumi...
105
Voted
OSDI
2008
ACM
16 years 29 days ago
Difference Engine: Harnessing Memory Redundancy in Virtual Machines
Virtual machine monitors (VMMs) are a popular platform for Internet hosting centers and cloud-based compute services. By multiplexing hardware resources among virtual machines (VM...
Diwaker Gupta, Sangmin Lee, Michael Vrable, Stefan...