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» Computationally Efficient Transductive Machines
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NIPS
2000
13 years 9 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio
ICALT
2009
IEEE
13 years 11 months ago
An E-learning Ecosystem Based on Cloud Computing Infrastructure
Recently the research community has believed that an e-learning ecosystem is the next generation elearning. However, the current models of e-learning ecosystems lack the support o...
Bo Dong, Qinghua Zheng, Jie Yang, Haifei Li, Mu Qi...
ISPDC
2005
IEEE
14 years 1 months ago
New Challenges in Parallel Optimization
: Optimization is a healthy field targeted to find efficient solutions and algorithms to solve problems either in the academia and the industry. As the solved problems became harde...
Enrique Alba
COLING
2010
13 years 2 months ago
Hierarchical Phrase-based Machine Translation with Word-based Reordering Model
Hierarchical phrase-based machine translation can capture global reordering with synchronous context-free grammar, but has little ability to evaluate the correctness of word order...
Katsuhiko Hayashi, Hajime Tsukada, Katsuhito Sudoh...
ACMSE
2006
ACM
14 years 1 months ago
Support vector machines for collaborative filtering
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
Zhonghang Xia, Yulin Dong, Guangming Xing