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» Boosting Using Branching Programs
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CP
2005
Springer
15 years 6 months ago
Search and Inference in AI Planning
While Planning has been a key area in Artificial Intelligence since its beginnings, significant changes have occurred in the last decade as a result of new ideas and a more estab...
Hector Geffner
105
Voted
ICML
2009
IEEE
16 years 1 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
78
Voted
MP
2007
75views more  MP 2007»
14 years 12 months ago
Solving maximum-entropy sampling problems using factored masks
We present a practical approach to Anstreicher and Lee’s masked spectral bound for maximum-entropy sampling, and we describe favorable results that we have obtained with a Branch...
Samuel Burer, Jon Lee
ICALP
2010
Springer
15 years 5 months ago
Dynamic Programming for Graphs on Surfaces
Abstract. We provide a framework for the design and analysis of dynamic programming algorithms for surface-embedded graphs on n vertices and branchwidth at most k. Our technique ap...
Juanjo Rué, Ignasi Sau, Dimitrios M. Thilik...
117
Voted
FM
2008
Springer
192views Formal Methods» more  FM 2008»
15 years 2 months ago
CoVaC: Compiler Validation by Program Analysis of the Cross-Product
Abstract. The paper presents a deductive framework for proving program equivalence and its application to automatic verification of transformations performed by optimizing compiler...
Anna Zaks, Amir Pnueli