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ICMLA
2010
15 years 3 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
15 years 12 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
15 years 7 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
15 years 12 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
16 years 29 days 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...