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PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
15 years 9 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
155
Voted
TNN
2011
200views more  TNN 2011»
14 years 9 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
130
Voted
PREMI
2007
Springer
15 years 8 months ago
Self Adaptable Recognizer for Document Image Collections
Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
Million Meshesha, C. V. Jawahar
133
Voted
AISADM
2007
Springer
15 years 8 months ago
Robust Agent Communities
We believe that intelligent information agents will represent their users interest in electronic marketplaces and other forums to trade, exchange, share, identify, and locate goods...
Sandip Sen, Sabyasachi Saha, Stéphane Airia...
116
Voted
EMMCVPR
2005
Springer
15 years 8 months ago
Increasing Efficiency of SVM by Adaptively Penalizing Outliers
In this paper, a novel training method is proposed to increase the classification efficiency of support vector machine (SVM). The efficiency of the SVM is determined by the number ...
Yiqiang Zhan, Dinggang Shen