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GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
14 years 2 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel
AGENTS
2001
Springer
14 years 2 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
IUI
2000
ACM
14 years 2 months ago
Learning to recommend from positive evidence
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
Ingo Schwab, Wolfgang Pohl, Ivan Koychev
VLDB
1999
ACM
118views Database» more  VLDB 1999»
14 years 2 months ago
Similarity Search in High Dimensions via Hashing
The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Of late, there has been increasing ...
Aristides Gionis, Piotr Indyk, Rajeev Motwani
SIGMOD
1998
ACM
97views Database» more  SIGMOD 1998»
14 years 2 months ago
Cost Based Query Scrambling for Initial Delays
Remote data access from disparate sources across a widearea network such as the Internet is problematic due to the unpredictable nature of the communications medium and the lack o...
Tolga Urhan, Michael J. Franklin, Laurent Amsaleg