135 search results - page 16 / 27 » A Database-Hadoop Hybrid Approach to Scalable Machine Learni... |
134
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
169
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AI
2010
Springer
15 years 4 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
141
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EDUTAINMENT
2007
Springer
15 years 10 months ago
2007
Springer
Interactive storytelling in the virtual environment attracts a lot of research interests in recent years. Story plot and character are two most important elements of a story. Based...
155
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AIRWEB
2008
Springer
15 years 6 months ago
2008
Springer
We present an algorithm, witch, that learns to detect spam hosts or pages on the Web. Unlike most other approaches, it simultaneously exploits the structure of the Web graph as we...
138
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CEC
2007
IEEE
15 years 10 months ago
2007
IEEE
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...