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ECAI
2010
Springer
13 years 8 months ago
Learning When to Use Lazy Learning in Constraint Solving
Abstract. Learning in the context of constraint solving is a technique by which previously unknown constraints are uncovered during search and used to speed up subsequent search. R...
Ian P. Gent, Christopher Jefferson, Lars Kotthoff,...
AIPS
2008
13 years 10 months ago
From One to Many: Planning for Loosely Coupled Multi-Agent Systems
Loosely coupled multi-agent systems are perceived as easier to plan for because they require less coordination between agent sub-plans. In this paper we set out to formalize this ...
Ronen I. Brafman, Carmel Domshlak
ACSD
2001
IEEE
91views Hardware» more  ACSD 2001»
13 years 11 months ago
Synthesis of Net Systems with Inhibitor Arcs from Step Transition Systems
We here consider transition systems of Elementary Net Systems with Inhibitor Arcs. There are basically two di erent types of non-interleaving semantics of such Petri nets, the a-po...
Marta Pietkiewicz-Koutny
TR
2008
78views more  TR 2008»
13 years 7 months ago
MOMS-GA: A Multi-Objective Multi-State Genetic Algorithm for System Reliability Optimization Design Problems
A custom genetic algorithm was developed and implemented to solve multiple objective multi-state reliability optimization design problems. Many real-world engineering design proble...
Heidi A. Taboada, Jose F. Espiritu, David W. Coit
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
14 years 1 months ago
Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...