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ACL
2012
13 years 9 months ago
Learning High-Level Planning from Text
Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extrac...
S. R. K. Branavan, Nate Kushman, Tao Lei, Regina B...
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
16 years 1 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
CGO
2010
IEEE
16 years 2 months ago
Exploiting statistical correlations for proactive prediction of program behaviors
This paper presents a finding and a technique on program behavior prediction. The finding is that surprisingly strong statistical correlations exist among the behaviors of diffe...
Yunlian Jiang, Eddy Z. Zhang, Kai Tian, Feng Mao, ...
AIIA
1995
Springer
15 years 10 months ago
Learning Programs in Different Paradigms using Genetic Programming
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
Man Leung Wong, Kwong-Sak Leung
ACL
2012
13 years 9 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires ...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku