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EMNLP
2009
13 years 5 months ago
A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules
A large body of recent research has been investigating the acquisition and application of applied inference knowledge. Such knowledge may be typically captured as entailment rules...
Roy Bar-Haim, Jonathan Berant, Ido Dagan
TFS
2008
157views more  TFS 2008»
13 years 7 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
TNN
2008
88views more  TNN 2008»
13 years 7 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
ESOP
2006
Springer
13 years 11 months ago
Inference of User-Defined Type Qualifiers and Qualifier Rules
Abstract. In previous work, we described a new approach to supporting userdefined type qualifiers, which augment existing types to specify and check additional properties of intere...
Brian Chin, Shane Markstrum, Todd D. Millstein, Je...
JMLR
2010
137views more  JMLR 2010»
13 years 2 months ago
HOP-MAP: Efficient Message Passing with High Order Potentials
There is a growing interest in building probabilistic models with high order potentials (HOPs), or interactions, among discrete variables. Message passing inference in such models...
Daniel Tarlow, Inmar Givoni, Richard S. Zemel