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» High Performance Reasoning with Very Large Knowledge Bases
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HIS
2004
14 years 11 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
MLMTA
2003
14 years 11 months ago
Using a Two-Layered Case-Based Reasoning for Prediction in Soccer Coach
Abstract— The prediction of the future states in MultiAgent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the pre...
Mazda Ahmadi, Abolfazl Keighobadi Lamjiri, Mayssam...
AIL
2004
103views more  AIL 2004»
14 years 9 months ago
Legal Ontologies in Knowledge Engineering and Information Management
In this article we describe two core ontologies of law that specify knowledge that is common to all domains of law. The first one, FOLaw describes and explains dependencies between...
Joost Breuker, André Valente, Radboud Winke...
CADE
2007
Springer
15 years 10 months ago
Optimized Reasoning in Description Logics Using Hypertableaux
We present a novel reasoning calculus for Description Logics (DLs)--knowledge representation formalisms with applications in areas such as the Semantic Web. In order to reduce the ...
Boris Motik, Rob Shearer, Ian Horrocks
CADE
2008
Springer
15 years 10 months ago
The Annual SUMO Reasoning Prizes at CASC
Previous CASC competitions have focused on proving difficult problems on small numbers of axioms. However, typical reasoning applications for expert systems rely on knowledge base...
Adam Pease, Geoff Sutcliffe, Nick Siegel, Steven T...