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» Distributional Features for Text Categorization
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ML
2006
ACM
110views Machine Learning» more  ML 2006»
14 years 11 months ago
Distribution-based aggregation for relational learning with identifier attributes
Abstract Identifier attributes--very high-dimensional categorical attributes such as particular product ids or people's names--rarely are incorporated in statistical modeling....
Claudia Perlich, Foster J. Provost
CIKM
2004
Springer
15 years 5 months ago
Distributional term representations: an experimental comparison
A number of content management tasks, including term categorization, term clustering, and automated thesaurus generation, view natural language terms (e.g. words, noun phrases) as...
Alberto Lavelli, Fabrizio Sebastiani, Roberto Zano...
ICDAR
2007
IEEE
15 years 3 months ago
Text-Independent Writer Identification and Verification on Offline Arabic Handwriting
In this paper, we evaluate the performance on Arabic handwriting of the text-independent writer identification methods that we developed and tested on Western script in recent yea...
Marius Bulacu, Lambert Schomaker, Axel Brink
DAGM
2009
Springer
15 years 6 months ago
Learning with Few Examples by Transferring Feature Relevance
The human ability to learn difficult object categories from just a few views is often explained by an extensive use of knowledge from related classes. In this work we study the use...
Erik Rodner, Joachim Denzler
EMNLP
2004
15 years 1 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag