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» The Complexity of Rationalizing Matchings
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ECAL
2005
Springer
15 years 11 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
SIGECOM
2003
ACM
115views ECommerce» more  SIGECOM 2003»
15 years 11 months ago
Betting boolean-style: a framework for trading in securities based on logical formulas
We develop a framework for trading in compound securities: financial instruments that pay off contingent on the outcomes of arbitrary statements in propositional logic. Buying o...
Lance Fortnow, Joe Kilian, David M. Pennock, Micha...
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 11 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
AAAI
2008
15 years 8 months ago
Extracting Relevant Snippets for Web Navigation
Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...
Qing Li, K. Selçuk Candan, Qi Yan
190
Voted
IR
2006
15 years 6 months ago
A relatedness analysis of government regulations using domain knowledge and structural organization
The complexity and diversity of government regulations make understanding and retrieval of regulations a non-trivial task. One of the issues is the existence of multiple sources o...
Gloria T. Lau, Kincho H. Law, Gio Wiederhold