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113
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JMLR
2008
114views more  JMLR 2008»
15 years 22 days ago
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
120
Voted
JMLR
2008
137views more  JMLR 2008»
15 years 22 days ago
Online Learning of Complex Prediction Problems Using Simultaneous Projections
We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer
91
Voted
JMM2
2008
160views more  JMM2 2008»
15 years 22 days ago
A Film Classifier Based on Low-level Visual Features
We propose an approach to classify the film classes by using low level features and visual features. This approach aims to classify the films into genres. Our current domain of stu...
Hui-Yu Huang, Weir-Sheng Shih, Wen-Hsing Hsu
110
Voted
DKE
2007
162views more  DKE 2007»
15 years 22 days ago
A new algorithm for clustering search results
We develop a new algorithm for clustering search results. Differently from many other clustering systems that have been recently proposed as a post-processing step for Web search ...
Giansalvatore Mecca, Salvatore Raunich, Alessandro...
128
Voted
JUCS
2008
160views more  JUCS 2008»
15 years 22 days ago
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches
: The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
Marcos Evandro Cintra, Heloisa de Arruda Camargo, ...