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GECCO
2006
Springer
196views Optimization» more  GECCO 2006»
15 years 6 months ago
An anticipatory approach to improve XCSF
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
Amin Nikanjam, Adel Torkaman Rahmani
UAI
1998
15 years 4 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman
ICRA
2010
IEEE
130views Robotics» more  ICRA 2010»
15 years 1 months ago
A distributed strategy for gait adaptation in modular robots
Abstract— In this paper we study online gait optimization for modular robots. The learning strategy we apply is distributed, independent on robot morphology, and easy to implemen...
David Johan Christensen, Ulrik Pagh Schultz, Kaspe...
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
16 years 3 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
NIPS
2004
15 years 4 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.