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98
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COR
2002
90views more  COR 2002»
14 years 10 months ago
Extremist vs. centrist decision behavior: quasi-convex utility functions for interactive multi-objective linear programming prob
This paper presents the fundamental theory and algorithms for identifying the most preferred alternative for a decision maker (DM) having a non-centrist (or extremist) preferentia...
Behnam Malakooti, Jumah E. Al-alwani
FLAIRS
2001
14 years 11 months ago
Decision Tree Rule Reduction Using Linear Classifiers in Multilayer Perceptron
It hasbeenshownthat a neuralnetworkis better thana direct applicationof inductiontrees in modelingcomplex relations of inputattributes in sampledata. We proposethat conciserules b...
DaeEun Kim, Sea Woo Kim
78
Voted
TIT
2010
103views Education» more  TIT 2010»
14 years 5 months ago
Performance bounds for erasure, list and decision feedback schemes with linear block codes
A message independence property and some new performance upper bounds are derived in this work for erasure, list and decision-feedback schemes with linear block codes transmitted ...
Eran Hof, Igal Sason, Shlomo Shamai
IJCAI
2007
14 years 11 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
88
Voted
ICML
2010
IEEE
14 years 11 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...