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IDT
2010
124views more  IDT 2010»
13 years 6 months ago
Modelling decision making with probabilistic causation
Humans know how to reason based on cause and effect, but cause and effect is not enough to draw conclusions due to the problem of imperfect information and uncertainty. To resol...
Luís Moniz Pereira, Carroline Kencana Ramli
ACL
1993
13 years 8 months ago
Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing
We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
Ezra Black, Frederick Jelinek, John D. Lafferty, D...
PAPM
2001
Springer
107views Mathematics» more  PAPM 2001»
13 years 12 months ago
MoDeST - A Modelling and Description Language for Stochastic Timed Systems
This paper presents a modelling language, called MoDeST, for describing the behaviour of discrete event systems. The language combines conventional programming constructs – such ...
Pedro R. D'Argenio, Holger Hermanns, Joost-Pieter ...
NN
2006
Springer
232views Neural Networks» more  NN 2006»
13 years 7 months ago
A probabilistic model of gaze imitation and shared attention
An important component of language acquisition and cognitive learning is gaze imitation. Infants as young as one year of age can follow the gaze of an adult to determine the objec...
Matthew W. Hoffman, David B. Grimes, Aaron P. Shon...
CONCUR
1997
Springer
13 years 11 months ago
Probabilistic Concurrent Constraint Programming
Abstract. We extend cc to allow the specification of a discrete probability distribution for random variables. We demonstrate the expressiveness of pcc by synthesizing combinators...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat