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ICMLA
2010
13 years 7 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
CIKM
2005
Springer
14 years 3 months ago
Feature-based recommendation system
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology use...
Eui-Hong Han, George Karypis
CSREAPSC
2006
13 years 11 months ago
Design and Implementation of SONICA (Service Oriented Network Interoperability for Component Adaptation) for Multimedia Pervasiv
Abstract - Recent advances in multimedia network systems have led to the development of a new generation of applications that associate the use of various multimedia objects. The c...
Hiroshi Hayakawa, Takahiro Koita, Kenya Sato
ACMACE
2005
ACM
14 years 3 months ago
The CaveUT system: immersive entertainment based on a game engine
We describe the development of the CaveUT system, which is a software supporting immersive virtual reality installations based on the Unreal Tournament game engine. CaveUT impleme...
Jeffrey Jacobson, Marc Le Renard, Jean-Luc Lugrin,...
EPIA
2009
Springer
14 years 4 months ago
An ILP System for Learning Head Output Connected Predicates
Inductive Logic Programming (ILP) [1] systems are general purpose learners that have had significant success on solving a number of relational problems, particularly from the biol...
José Carlos Almeida Santos, Alireza Tamaddo...