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» Efficient Structured Support Vector Regression
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IJCSA
2006
129views more  IJCSA 2006»
13 years 8 months ago
The SH-Tree: A Novel and Flexible Super Hybrid Index Structure for Similarity Search on Multidimensional Data
Approaches to indexing and searching feature vectors are an indispensable factor to support similarity search effectively and efficiently. Such feature vectors extracted from real...
Tran Khanh Dang
BMCBI
2008
140views more  BMCBI 2008»
13 years 8 months ago
SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences
Background: Protein structure prediction methods provide accurate results when a homologous protein is predicted, while poorer predictions are obtained in the absence of homologou...
Lukasz A. Kurgan, Krzysztof J. Cios, Ke Chen 0003
JDCTA
2010
122views more  JDCTA 2010»
13 years 3 months ago
The Financial Structure and High-Tech Industries Development in China
The transformation of economic development approach demands to develop high-tech industries, while high-tech industries can't develop without financial support, in which diff...
Liuyong Yang, Shensheng Mo, Anqi Zhou
JMLR
2011
148views more  JMLR 2011»
13 years 3 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
CIDM
2007
IEEE
14 years 18 days ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...