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» Learning to learn with the informative vector machine
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CIKM
2010
Springer
15 years 2 months ago
Utilizing re-finding for personalized information retrieval
Individuals often use search engines to return to web pages they have previously visited. This behaviour, called refinding, accounts for about 38% of all queries. While researcher...
Sarah K. Tyler, Jian Wang, Yi Zhang 0001
COLING
2010
14 years 11 months ago
Shallow Information Extraction from Medical Forum Data
We study a novel shallow information extraction problem that involves extracting sentences of a given set of topic categories from medical forum data. Given a corpus of medical fo...
Parikshit Sondhi, Manish Gupta, ChengXiang Zhai, J...
ICCS
2007
Springer
15 years 10 months ago
Text Classification with Support Vector Machine and Back Propagation Neural Network
Abstract. We compared a support vector machine (SVM) with a back propagation neural network (BPNN) for the task of text classification of XiangShan science conference (XSSC) web do...
Wen Zhang, Xijin Tang, Taketoshi Yoshida
IJCNN
2000
IEEE
15 years 8 months ago
Support Vector Machine for Regression and Applications to Financial Forecasting
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
Theodore B. Trafalis, Huseyin Ince
FLAIRS
2001
15 years 5 months ago
Improvement of Nearest-Neighbor Classifiers via Support Vector Machines
Theoretically well-founded, Support Vector Machines (SVM)are well-knownto be suited for efficiently solving classification problems. Althoughimprovedgeneralization is the maingoal...
Marc Sebban, Richard Nock