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» Relation Extraction Using Support Vector Machine
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JMLR
2002
115views more  JMLR 2002»
15 years 2 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
ICALT
2003
IEEE
15 years 7 months ago
On Tools for Analysis of Collaborative Problem Solving
Analysis of collaborative problem solving involves analysis of dialogue and interaction, analysis of tasks and social roles through ethnographic and other field studies. Use of to...
Nikolaos M. Avouris, Vassilis Komis, Georgios Fiot...
99
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ICMCS
2007
IEEE
133views Multimedia» more  ICMCS 2007»
15 years 8 months ago
Data Modeling Strategies for Imbalanced Learning in Visual Search
In this paper we examine a novel approach to the difficult problem of querying video databases using visual topics with few examples. Typically with visual topics, the examples a...
Jelena Tesic, Apostol Natsev, Lexing Xie, John R. ...
CIKM
2008
Springer
15 years 4 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
APBC
2006
181views Bioinformatics» more  APBC 2006»
15 years 3 months ago
Analyzing Inconsistency Toward Enhancing Integration of Biological Molecular Databases
: The rapid growth of biological databases not only provides biologists with abundant data but also presents a big challenge in relation to the analysis of data. Many data analysis...
Yi-Ping Phoebe Chen, Qingfeng Chen