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» A Probabilistic Language Model for Hand Drawings
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ICPR
2010
IEEE
13 years 4 months ago
A Probabilistic Language Model for Hand Drawings
Probabilistic language models are critical to applications in natural language processing that include speech recognition, optical character recognition, and interfaces for text e...
Abdullah Akce, Timothy Bretl
IDT
2010
124views more  IDT 2010»
13 years 3 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
NAACL
2004
13 years 6 months ago
Training Tree Transducers
Many probabilistic models for natural language are now written in terms of hierarchical tree structure. Tree-based modeling still lacks many of the standard tools taken for grante...
Jonathan Graehl, Kevin Knight
JMLR
2012
11 years 7 months ago
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
Martin Schiegg, Marion Neumann, Kristian Kersting
COGSCI
2010
125views more  COGSCI 2010»
13 years 4 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson