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ICML
2006
IEEE
16 years 3 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey
ACL
2010
15 years 27 days ago
cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models
We present cdec, an open source framework for decoding, aligning with, and training a number of statistical machine translation models, including word-based models, phrase-based m...
Chris Dyer, Adam Lopez, Juri Ganitkevitch, Jonatha...
ICCS
2005
Springer
15 years 8 months ago
Applications of Description Logics: State of the Art and Research Challenges
Abstract. Description Logics (DLs) are a family of class based knowledge representation formalisms characterised by the use of various constructors to build complex classes from si...
Ian Horrocks
ICALP
2005
Springer
15 years 8 months ago
Noisy Turing Machines
Abstract. Turing machines exposed to a small stochastic noise are considered. An exact characterisation of their (≈ Π0 2 ) computational power (as noise level tends to 0) is obt...
Eugene Asarin, Pieter Collins
ISPDC
2003
IEEE
15 years 8 months ago
Role Activity Diagrams as Finite State Processes
Many formal modelling notations for business processes have been proposed during the last decade. They can be broadly classified into high-level visual notations, with an intuiti...
Costin Badica, Amelia Badica, Valentin Litoiu