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ICANN
2009
Springer
15 years 10 months ago
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
Alexander Hans, Steffen Udluft
CLEANDB
2006
ACM
112views Database» more  CLEANDB 2006»
15 years 10 months ago
Generic Entity Resolution with Data Confidences
We consider the Entity Resolution (ER) problem (also known as deduplication, or merge-purge), in which records determined to represent the same real-world entity are successively ...
David Menestrina, Omar Benjelloun, Hector Garcia-M...
174
Voted
CP
2006
Springer
15 years 10 months ago
: A Bottom-Up Approach for Solving Quantified CSPs
Abstract. Thanks to its extended expressiveness, the quantified constraint satisfaction problem (QCSP) can be used to model problems that are difficult to express in the standard C...
Guillaume Verger, Christian Bessière
ECAI
2006
Springer
15 years 10 months ago
Identifying Inter-Domain Similarities Through Content-Based Analysis of Hierarchical Web-Directories
Providing accurate personalized information services to the users requires knowing their interests and needs, as defined by their User Models (UMs). Since the quality of the person...
Shlomo Berkovsky, Dan Goldwasser, Tsvi Kuflik, Fra...
176
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GECCO
2000
Springer
112views Optimization» more  GECCO 2000»
15 years 10 months ago
Code Compaction Using Genetic Algorithms
One method for compacting executable computer code is to replace commonly repeated sequences of instructions with macro instructions from a decoding dictionary. The size of the de...
Keith E. Mathias, Larry J. Eshelman, J. David Scha...
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