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ABIALS
2008
Springer
13 years 10 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 8 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
EPIA
2009
Springer
14 years 2 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...
CEC
2007
IEEE
14 years 2 months ago
N-gram fitness function with a constraint in a musical evolutionary system
—This paper describes an evolutionary music composition system that combines trainable music critics with a bag of notes constraint. Unlike many evolutionary composition systems,...
Man Yat Lo, Simon M. Lucas
CP
1995
Springer
13 years 11 months ago
Integrating Constraints in an Object-Based Knowledge Representation System
Object-based knowledge representation systems bene t from the declarative power of the object formalism for modeling, organizing and storing large amounts of knowledge. They also ...
Jérôme Gensel