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» Predicting labels for dyadic data
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IMCSIT
2010
13 years 7 months ago
Semi-Automatic Extension of Morphological Lexica
Abstract--We present a tool that facilitates the efficient extension of morphological lexica. The tool exploits information from a morphological lexicon, a morphological grammar an...
Tobias Kaufmann, Beat Pfister
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
14 years 11 months ago
Annotating Structured Data of the Deep Web
An increasing number of databases have become Web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded in...
Yiyao Lu, Hai He, Hongkun Zhao, Weiyi Meng, Clemen...
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
14 years 10 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
14 years 3 months ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha
DAWAK
2010
Springer
13 years 10 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...