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ICPR
2008
IEEE
16 years 18 days ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Web based Chinese Calligraphy Learning with 3-D Visualization Method
Chinese calligraphy is pictographic and each calligraphist has his own writing style. People often feel difficult in writing a demanded beautiful calligraphy style. In order to he...
Yingfei Wu, Yueting Zhuang, Yunhe Pan, Jiangqin Wu
IJCNN
2006
IEEE
15 years 5 months ago
Learning the Kernel in Mahalanobis One-Class Support Vector Machines
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
Ivor W. Tsang, James T. Kwok, Shutao Li
FLAIRS
2004
15 years 24 days ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
124
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ACL
1998
15 years 23 days ago
Maximum Entropy Model Learning of the Translation Rules
This paper proposes a learning method of translation rules from parallel corpora. This method applies the maximum entropy principle to a probabilistic model of translation rules. ...
Kengo Sato, Masakazu Nakanishi