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GOSLER
1995
14 years 1 months ago
Learning and Consistency
In designing learning algorithms it seems quite reasonable to construct them in such a way that all data the algorithm already has obtained are correctly and completely reflected...
Rolf Wiehagen, Thomas Zeugmann
IROS
2006
IEEE
108views Robotics» more  IROS 2006»
14 years 3 months ago
Improving the Consistency of Relative Map
Abstract— In this paper, the Independence Relative Map algorithm is presented. The algorithm aims to achieve the independence of relative map states. We show that using dependent...
Viet Nguyen, Agostino Martinelli, Roland Siegwart
IJCAI
2003
13 years 11 months ago
AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
Predictive accuracy has been used as the main and often only evaluation criterion for the predictive performance of classification learning algorithms. In recent years, the area ...
Charles X. Ling, Jin Huang, Harry Zhang
ICML
2009
IEEE
14 years 10 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
UAI
2000
13 years 11 months ago
Probabilistic Arc Consistency: A Connection between Constraint Reasoning and Probabilistic Reasoning
We document a connection between constraint reasoning and probabilistic reasoning. We present an algorithm, called probabilistic arc consistency, which is both a generalization of...
Michael C. Horsch, William S. Havens