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» Merging Belief Bases Represented by Logic Programs
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161
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JMLR
2012
13 years 4 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
MICAI
2005
Springer
15 years 7 months ago
Directed Cycles in Bayesian Belief Networks: Probabilistic Semantics and Consistency Checking Complexity
Although undirected cycles in directed graphs of Bayesian belief networks have been thoroughly studied, little attention has so far been given to a systematic analysis of directed ...
Alexander L. Tulupyev, Sergey I. Nikolenko
111
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INFSOF
1998
88views more  INFSOF 1998»
15 years 1 months ago
A logic based language for networked agents
This paper presents a logic based language, SAFIN, for developing networked software agents. It integrates agent-oriented programming, KQML and basic mobile techniques to support ...
Dianxiang Xu
KAIS
2007
95views more  KAIS 2007»
15 years 1 months ago
Handling non-canonical software requirements based on Annotated Predicate Calculus
Eliciting requirements for a proposed system inevitably involves the problem of handling undesirable information about customer’s needs, including inconsistency, vagueness, redun...
Kedian Mu, Zhi Jin, Ruqian Lu, Yan Peng
LICS
1991
IEEE
15 years 5 months ago
Logic Programming in a Fragment of Intuitionistic Linear Logic
When logic programming is based on the proof theory of intuitionistic logic, it is natural to allow implications in goals and in the bodies of clauses. Attempting to prove a goal ...
Joshua S. Hodas, Dale Miller