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AI
2008
Springer
13 years 8 months ago
Conditional independence and chain event graphs
Graphs provide an excellent framework for interrogating symmetric models of measurement random variables and discovering their implied conditional independence structure. However,...
Jim Q. Smith, Paul E. Anderson
AI
2002
Springer
13 years 7 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
CEC
2010
IEEE
13 years 9 months ago
Principles of protein processing for a self-organising associative memory
The evolution of Artificial Intelligence has passed through many phases over the years, going from rigorous mathematical grounding to more intuitive bio-inspired approaches. Despit...
Omer Qadir, Jerry Liu, Jon Timmis, Gianluca Tempes...
AIR
2006
124views more  AIR 2006»
13 years 8 months ago
Expressiveness of temporal query languages: on the modelling of intervals, interval relationships and states
Abstract Storing and retrieving time-related information are important, or even critical, tasks on many areas of Computer Science (CS) and in particular for Artificial Intelligence...
Rodolfo Sabás Gómez, Juan Carlos Aug...
AI
2003
Springer
14 years 1 months ago
A Formal Theory for Describing Action Concepts in Terminological Knowledge Bases
This paper introduces a formal theory for describing actions in terminological knowledge bases, closely related to description logics. It deals in particular with the problem of ad...
Christel Kemke