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» Making inferences with small numbers of training sets
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IJCAI
2003
15 years 1 months ago
Semi-Supervised Learning with Explicit Misclassification Modeling
This paper investigates a new approach for training discriminant classifiers when only a small set of labeled data is available together with a large set of unlabeled data. This a...
Massih-Reza Amini, Patrick Gallinari
ICCV
2007
IEEE
16 years 1 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...
DLT
2007
15 years 1 months ago
Two Element Unavoidable Sets of Partial Words
d Abstract) F. Blanchet-Sadri1 , N.C. Brownstein2 , and Justin Palumbo3 1 Department of Computer Science, University of North Carolina, P.O. Box 26170, Greensboro, NC 27402–6170,...
Francine Blanchet-Sadri, N. C. Brownstein, Justin ...
APIN
2004
81views more  APIN 2004»
14 years 11 months ago
Learning Generalized Policies from Planning Examples Using Concept Languages
In this paper we are concerned with the problem of learning how to solve planning problems in one domain given a number of solved instances. This problem is formulated as the probl...
Mario Martin, Hector Geffner
IJCAI
1993
15 years 1 months ago
Second Order Measures for Uncertainty Processing
Uncertainty processing methods are analysed from the viewpoint of their sensitivity to small variations of certainty factors. The analysis makes use of the algebraic theory which ...
Zdenek Zdráhal