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» On the Complexity of Train Assignment Problems
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128
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DAWAK
2010
Springer
15 years 4 months ago
Modelling Complex Data by Learning Which Variable to Construct
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Françoise Fessant, Aurélie Le Cam, M...
122
Voted
NCA
2007
IEEE
15 years 3 months ago
Safety management of complex technology
One of the key success factors behind the human species is the ability to think, plan and pursue goals. Apart from wisdom and tacit knowledge, experience and awareness of the phys...
Ali G. Hessami
AAAI
2004
15 years 5 months ago
Towards Efficient Sampling: Exploiting Random Walk Strategies
From a computational perspective, there is a close connection between various probabilistic reasoning tasks and the problem of counting or sampling satisfying assignments of a pro...
Wei Wei, Jordan Erenrich, Bart Selman
134
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COLT
1998
Springer
15 years 8 months ago
Improved Boosting Algorithms using Confidence-Rated Predictions
Abstract. We describe several improvements to Freund and Schapire's AdaBoost boosting algorithm, particularly in a setting in which hypotheses may assign confidences to each o...
Robert E. Schapire, Yoram Singer
139
Voted
AAAI
2006
15 years 5 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang