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IIR
2010
14 years 7 months ago
Selecting Features for Ordinal Text Classification
We present four new feature selection methods for ordinal regression and test them against four different baselines on two large datasets of product reviews.
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
SOFTWARE
2002
14 years 9 months ago
Sequential Diagnosis in the Independence Bayesian Framework
We present a new approach to test selection in sequential diagnosis (or classification) in the independence Bayesian framework that resembles the hypothetico-deductive approach to ...
David McSherry
COMSIS
2006
156views more  COMSIS 2006»
14 years 9 months ago
A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...
Kristína Machova, Miroslav Puszta, Frantise...
80
Voted
MVA
2010
129views Computer Vision» more  MVA 2010»
14 years 4 months ago
Assessment of the influence of adaptive components in trainable surface inspection systems
Abstract In this paper, we present a framework for the classification of images in surface inspection tasks and address several key aspects of the processing chain from the origina...
Christian Eitzinger, Wolfgang Heidl, Edwin Lughofe...
77
Voted
COCO
2006
Springer
88views Algorithms» more  COCO 2006»
14 years 11 months ago
Polynomial Identity Testing for Depth 3 Circuits
We study the identity testing problem for depth 3 arithmetic circuits ( circuit). We give the first deterministic polynomial time identity test for circuits with bounded top fanin...
Neeraj Kayal, Nitin Saxena