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» Support vector machine for functional data classification
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ICMLA
2009
15 years 2 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 6 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
BMCBI
2006
147views more  BMCBI 2006»
15 years 4 months ago
The NeuARt II system: a viewing tool for neuroanatomical data based on published neuroanatomical atlases
Background: Anatomical studies of neural circuitry describing the basic wiring diagram of the brain produce intrinsically spatial, highly complex data of great value to the neuros...
Gully A. P. C. Burns, Wei-Cheng Cheng, Richard H. ...
BMCBI
2010
102views more  BMCBI 2010»
14 years 11 months ago
Predicting protein-protein interactions in unbalanced data using the primary structure of proteins
Background: Elucidating protein-protein interactions (PPIs) is essential to constructing protein interaction networks and facilitating our understanding of the general principles ...
Chi-Yuan Yu, Lih-Ching Chou, Darby Tien-Hao Chang
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu