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122
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GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 9 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith
124
Voted
ATAL
2007
Springer
15 years 9 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
139
Voted
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 3 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
242
Voted
ICDE
2002
IEEE
204views Database» more  ICDE 2002»
16 years 4 months ago
Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation
Obtaining fast and good quality approximations to data distributions is a problem of central interest to database management. A variety of popular database applications including,...
Sudipto Guha, Nick Koudas
243
Voted
SIGMOD
2008
ACM
142views Database» more  SIGMOD 2008»
16 years 3 months ago
Cost-based variable-length-gram selection for string collections to support approximate queries efficiently
Approximate queries on a collection of strings are important in many applications such as record linkage, spell checking, and Web search, where inconsistencies and errors exist in...
Xiaochun Yang, Bin Wang, Chen Li