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» Text classification improved through multigram models
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NIPS
2004
13 years 9 months ago
An Application of Boosting to Graph Classification
This paper presents an application of Boosting for classifying labeled graphs, general structures for modeling a number of real-world data, such as chemical compounds, natural lan...
Taku Kudo, Eisaku Maeda, Yuji Matsumoto
SEMCO
2007
IEEE
14 years 2 months ago
A Hybrid Approach to Improving Semantic Extraction of News Video
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple feature s...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...
IPM
2006
130views more  IPM 2006»
13 years 7 months ago
Exploiting structural information for semi-structured document categorization
This paper examines several different approaches to exploiting structural information in semi-structured document categorization. The methods under consideration are designed for ...
Andrej Bratko, Bogdan Filipic
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 8 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
CLEF
2009
Springer
13 years 8 months ago
Prior Art Search Using International Patent Classification Codes and All-Claims-Queries
In this study, we describe our system at the Intellectual Property track of the 2009 CrossLanguage Evaluation Forum campaign (CLEF-IP). The CLEF-IP track addressed prior art searc...
Benjamin Herbert, György Szarvas, Iryna Gurev...