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IJCAI
1997
15 years 8 months ago
Object Identification in a Bayesian Context
Object identification—the task of deciding that two observed objects are in fact one and the same object—is a fundamental requirement for any situated agent that reasons about...
Timothy Huang, Stuart J. Russell
187
Voted
ACL
1994
15 years 8 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
ATAL
2010
Springer
15 years 8 months ago
On the limits of dictatorial classification
In the strategyproof classification setting, a set of labeled examples is partitioned among multiple agents. Given the reported labels, an optimal classification mechanism returns...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...
AI
2008
Springer
15 years 7 months ago
Modelling and solving temporal reasoning as propositional satisfiability
Representing and reasoning about time dependent information is a key research issue in many areas of computer science and artificial intelligence. One of the best known and widely...
Duc Nghia Pham, John Thornton, Abdul Sattar
APAL
2010
115views more  APAL 2010»
15 years 7 months ago
Kripke semantics for provability logic GLP
A well-known polymodal provability logic GLP is complete w.r.t. the arithmetical semantics where modalities correspond to reflection principles of restricted logical complexity in...
Lev D. Beklemishev
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