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» Filtering with Approximate Predicates
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EWRL
2008
14 years 11 months ago
Bayesian Reward Filtering
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
KR
2000
Springer
15 years 1 months ago
Approximate Objects and Approximate Theories
We propose to extend the ontology of logical AI to include approximate objects, approximate predicates and approximate theories. Besides the ontology we treat the relations among ...
John McCarthy
JOLLI
2002
120views more  JOLLI 2002»
14 years 9 months ago
The Donkey and the Monoid. Dynamic Semantics with Control Elements
Dynamic Predicate Logic (DPL) is a variant of Predicate Logic introduced by Groenendijk en Stokhof. One rationale behind the indroduction of DPL is that it is closer to Natural La...
Albert Visser
ISCAS
1999
IEEE
177views Hardware» more  ISCAS 1999»
15 years 2 months ago
Obtaining digital gradient signals for analog adaptive filters
Analog adaptive filters with digitally programmable coefficients can provide speed, power, and area advantages over digital adaptive filters while overcoming the dc offset problem...
Anthony Chan Carusone, David A. Johns
FOCS
2003
IEEE
15 years 3 months ago
Proving Hard-Core Predicates Using List Decoding
We introduce a unifying framework for proving that predicate P is hard-core for a one-way function f, and apply it to a broad family of functions and predicates, reproving old res...
Adi Akavia, Shafi Goldwasser, Shmuel Safra