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PAAMS
2010
Springer
15 years 14 days ago
Improving Functionalities in a Multi-agent Architecture for Ocean Monitoring
This paper presents an improved version of a multiagent architecture aimed at providing solutions for monitoring the interaction between the atmosphere and the ocean. The ocean sur...
Fernando de la Prieta, Óscar Gil, Carolina ...
124
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ILP
2007
Springer
15 years 8 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
120
Voted
GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
15 years 3 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor
AAAI
2006
15 years 4 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
99
Voted
CP
2005
Springer
15 years 8 months ago
Acquiring Parameters of Implied Global Constraints
This paper presents a technique for learning parameterized implied constraints. They can be added to a model to improve the solving process. Experiments on implied Gcc constraints ...
Christian Bessière, Remi Coletta, Thierry P...