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» On Unbiased Linear Approximations
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AMAI
2006
Springer
15 years 16 days ago
Symmetric approximate linear programming for factored MDPs with application to constrained problems
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
Dmitri A. Dolgov, Edmund H. Durfee
101
Voted
JUCS
2008
158views more  JUCS 2008»
15 years 13 days ago
A Linear Time Approximation Algorithm for Ruler Folding Problem
: A chain or n-link is a sequence of n links whose lengths are fixed and are joined together from their endpoints, free to turn about their endpoints, which act as joints. "Ru...
Ali Nourollah, Mohammadreza Razzazi
97
Voted
ICANN
2007
Springer
15 years 6 months ago
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set
Finding the largest linearly separable set of examples for a given Boolean function is a NP-hard problem, that is relevant to neural network learning algorithms and to several prob...
Leonardo Franco, José Luis Subirats, Jos&ea...
79
Voted
CORR
2010
Springer
99views Education» more  CORR 2010»
15 years 17 days ago
An Automated Algorithm for Approximation of Temporal Video Data Using Linear B'EZIER Fitting
This paper presents an efficient method for approximation of temporal video data using linear Bezier fitting. For a given sequence of frames, the proposed method estimates the int...
Murtaza Ali Khan
98
Voted
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 4 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson