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ICML
1999
IEEE
16 years 7 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
SIGSOFT
2009
ACM
16 years 7 months ago
Refactoring for reentrancy
A program is reentrant if distinct executions of that program on distinct inputs cannot affect each other. Reentrant programs have the desirable property that they can be deployed...
Jan Wloka, Manu Sridharan, Frank Tip
EACL
2009
ACL Anthology
16 years 6 months ago
Re-Ranking Models for Spoken Language Understanding
Spoken Language Understanding aims at mapping a natural language spoken sentence into a semantic representation. In the last decade two main approaches have been pursued: generati...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
ALT
2008
Springer
16 years 3 months ago
Iterative Learning of Simple External Contextual Languages
It is investigated for which choice of a parameter q, denoting the number of contexts, the class of simple external contextual languages is iteratively learnable. On one hand, the ...
Leonor Becerra-Bonache, John Case, Sanjay Jain, Fr...
ALT
2004
Springer
16 years 3 months ago
New Revision Algorithms
A revision algorithm is a learning algorithm that identifies the target concept, starting from an initial concept. Such an algorithm is considered efficient if its complexity (in ...
Judy Goldsmith, Robert H. Sloan, Balázs Sz&...