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ICML
2008
IEEE
16 years 8 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
MMSP
2008
IEEE
245views Multimedia» more  MMSP 2008»
16 years 2 months ago
A convex programming approach for color stereo matching
—This paper addresses the problem of dense disparity estimation from a pair of color stereo images. Based on a convex set theoretic formulation, the stereo matching problem is ca...
Wided Miled, Béatrice Pesquet-Popescu, Jean...
COCOA
2007
Springer
16 years 1 months ago
A New Dynamic Programming Algorithm for Multiple Sequence Alignment
Abstract. Multiple sequence alignment (MSA) is one of the most basic and central tasks for many studies in modern biology. In this paper, we present a new progressive alignment alg...
Jean-Michel Richer, Vincent Derrien, Jin-Kao Hao
FCCM
2006
IEEE
106views VLSI» more  FCCM 2006»
16 years 1 months ago
Scalable Hardware Architecture for Real-Time Dynamic Programming Applications
Abstract— This paper introduces a novel architecture for performing the core computations required by dynamic programming (DP) techniques. The latter pertain to a vast range of a...
Brad Matthews, Itamar Elhanany
IJCNN
2006
IEEE
16 years 1 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang