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» On Combining Classifiers
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NLDB
2004
Springer
14 years 2 months ago
A Flexible Workbench for Document Analysis and Text Mining
Abstract: Document analysis and text mining techniques are used to preprocess documents in information retrieval systems, to extract concepts in ontology construction processes, an...
Jon Atle Gulla, Terje Brasethvik, Harald Kaada
LWA
2008
13 years 10 months ago
Weighted Voting as Approximate MAP Prediction in Pairwise Classification
Weighted voting is the commonly used strategy for combining predictions in pairwise classification. Even though it shows excellent performance in practice, it is often criticized ...
Eyke Hüllermeier, Stijn Vanderlooy
AAAI
2006
13 years 10 months ago
Multi-Conditional Learning: Generative/Discriminative Training for Clustering and Classification
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
CSJM
2006
124views more  CSJM 2006»
13 years 9 months ago
Text Classification Using Word-Based PPM Models
Text classification is one of the most actual among the natural language processing problems. In this paper the application of word-based PPM (Prediction by Partial Matching) mode...
Victoria Bobicev
SIGDIAL
2010
13 years 6 months ago
F2 - New Technique for Recognition of User Emotional States in Spoken Dialogue Systems
In this paper we propose a new technique to enhance emotion recognition by combining in different ways what we call emotion predictions. The technique is called F2 as the combinat...
Ramón López-Cózar, Jan Silovs...