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JMLR
2010
116views more  JMLR 2010»
13 years 3 months ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla
ICML
2007
IEEE
14 years 9 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi
DEXAW
2007
IEEE
116views Database» more  DEXAW 2007»
14 years 2 months ago
Regression Relevance Models for Data Fusion
Data fusion has been investigated by many researchers in the information retrieval community and has become an effective technique for improving retrieval effectiveness. In this p...
Shengli Wu, Yaxin Bi, Sally I. McClean
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 2 months ago
Option pricing model calibration using a real-valued quantum-inspired evolutionary algorithm
Quantum effects are a natural phenomenon and just like evolution, or immune processes, can serve as an inspiration for the design of computing algorithms. This study illustrates ...
Kai Fan, Anthony Brabazon, Conall O'Sullivan, Mich...
AGENTS
1998
Springer
14 years 25 days ago
Pitfalls of Agent-Oriented Development
While the theoretical and experimental foundations of agent-based systems are becoming increasingly well understood, comparatively little effort has been devoted to understanding ...
Michael Wooldridge, Nicholas R. Jennings