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» Evaluating learning algorithms and classifiers
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ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
15 years 10 months ago
Supervised Learning of Places from Range Data using AdaBoost
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
Óscar Martínez Mozos, Cyrill Stachni...
AAAI
2006
15 years 5 months ago
Exploring GnuGo's Evaluation Function with a SVM
While computers have defeated the best human players in many classic board games, progress in Go remains elusive. The large branching factor in the game makes traditional adversar...
Christopher Fellows, Yuri Malitsky, Gregory Wojtas...
SIGIR
2008
ACM
15 years 4 months ago
Evaluation measures for preference judgments
There has been recent interest in collecting user or assessor preferences, rather than absolute judgments of relevance, for the evaluation or learning of ranking algorithms. Since...
Ben Carterette, Paul N. Bennett
KDD
2004
ACM
123views Data Mining» more  KDD 2004»
16 years 4 months ago
A DEA approach for model combination
This paper proposes a novel Data Envelopment Analysis (DEA) based approach for model combination. We first prove that for the 2-class classification problems DEA models identify t...
Zhiqiang Zheng, Balaji Padmanabhan, Haoqiang Zheng
AUSAI
2008
Springer
15 years 6 months ago
Practical Bias Variance Decomposition
Abstract. Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on...
Remco R. Bouckaert