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ESOP
2000
Springer
15 years 8 months ago
Type Classes with Functional Dependencies
Abstract. Type classes in Haskell allow programmers to define functions that can be used on a set of different types, with a potentially different implementation in each case. For ...
Mark P. Jones
UAI
2003
15 years 5 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
IVCNZ
1998
15 years 5 months ago
On Estimation of Fundamental Matrix in Computational Stereo
We address the problem of estimating a fundamental matrix from a given set of corresponding pixels in two perspective images of a 3D scene that form a stereopair. The 3x3 fundamen...
Yuping Li, Georgy L. Gimel'farb
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 5 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
122
Voted
CORR
2010
Springer
130views Education» more  CORR 2010»
15 years 4 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun