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» Combining Classifiers based on Confidence Values
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AIR
2006
152views more  AIR 2006»
15 years 2 months ago
Machine learning: a review of classification and combining techniques
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panay...
CLEF
2010
Springer
15 years 3 months ago
A Multi Cue Discriminative Approach to Semantic Place Classification
This paper describes the participation of Idiap-MULTI to the Robot Vision Task at imageCLEF 2010. Our approach was based on a discriminative classification algorithm using multiple...
Marco Fornoni, Jesus Martínez-Gómez,...
ICDAR
2009
IEEE
15 years 8 days ago
Combining Alignment Results for Historical Handwritten Document Analysis
In this paper we propose a new strategy for combining the outputs of several alignment systems. Based on the word boundaries retrieved from a number of individual alignment system...
Emanuel Indermühle, Marcus Liwicki, Horst Bun...
ACL
2010
15 years 17 days ago
Error Detection for Statistical Machine Translation Using Linguistic Features
Automatic error detection is desired in the post-processing to improve machine translation quality. The previous work is largely based on confidence estimation using system-based ...
Deyi Xiong, Min Zhang, Haizhou Li
FSS
2008
110views more  FSS 2008»
15 years 2 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker