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» Introducing Agile Methods: Three Years of Experience
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JMLR
2012
11 years 11 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo
BMCBI
2007
185views more  BMCBI 2007»
13 years 9 months ago
GEDI: a user-friendly toolbox for analysis of large-scale gene expression data
Background: Several mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, a...
André Fujita, João Ricardo Sato, Car...
ICANN
2001
Springer
14 years 1 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc
AMFG
2007
IEEE
231views Biometrics» more  AMFG 2007»
13 years 10 months ago
Face Recognition Based on Pose-Variant Image Synthesis and Multi-level Multi-feature Fusion
Pose variance remains a challenging problem for face recognition. In this paper, a scheme including image synthesis and recognition is proposed to improve the performance of automa...
Congcong Li, Guangda Su, Yan Shang, Yingchun Li, Y...
ACL
2008
13 years 10 months ago
Multi-Task Active Learning for Linguistic Annotations
We extend the classical single-task active learning (AL) approach. In the multi-task active learning (MTAL) paradigm, we select examples for several annotation tasks rather than f...
Roi Reichart, Katrin Tomanek, Udo Hahn, Ari Rappop...