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» Planning, Learning, and Executing in Autonomous Systems
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193
Voted
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
15 years 12 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
102
Voted
ATAL
2005
Springer
15 years 3 months ago
A polynomial algorithm for decentralized Markov decision processes with temporal constraints
One of the difficulties to adapt MDPs for the control of cooperative multi-agent systems, is the complexity issued from Decentralized MDPs. Moreover, existing approaches can not ...
Aurélie Beynier, Abdel-Illah Mouaddib
85
Voted
IQ
2007
14 years 11 months ago
Data Integration Schema Analysis: An Approach With Information Quality
: Integrated access to distributed data is an important problem faced in many scientific and commercial applications. A data integration system provides a unified view for users to...
Maria da Conceição Moraes Batista, A...
104
Voted
IDA
1999
Springer
15 years 2 months ago
Reasoning about Input-Output Modeling of Dynamical Systems
The goal of input-output modeling is to apply a test input to a system, analyze the results, and learn something useful from the causeeffect pair. Any automated modeling tool that...
Matthew Easley, Elizabeth Bradley
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
14 years 10 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith