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JMLR
2006
116views more  JMLR 2006»
14 years 10 months ago
Step Size Adaptation in Reproducing Kernel Hilbert Space
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
82
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PR
2006
110views more  PR 2006»
14 years 10 months ago
Classifying protein sequences using hydropathy blocks
The annotation of proteins can be achieved by classifying the protein of interest into a certain known protein family to induce its functional and structural features. This paper ...
De-Shuang Huang, Xing-Ming Zhao, Guang-Bin Huang, ...
DIS
2009
Springer
15 years 5 months ago
Using Data Mining for Wine Quality Assessment
Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physicochemical (e.g alcohol levels) and sensory (e...
Paulo Cortez, Juliana Teixeira, António Cer...
79
Voted
ICPR
2010
IEEE
14 years 8 months ago
Audio-Visual Classification and Fusion of Spontaneous Affective Data in Likelihood Space
This paper focuses on audio-visual (using facial expression, shoulder and audio cues) classification of spontaneous affect, utilising generative models for classification (i) in t...
Mihalis A. Nicolaou, Hatice Gunes, Maja Pantic
ICML
2010
IEEE
14 years 11 months ago
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
Mingkui Tan, Li Wang, Ivor W. Tsang