2166 search results - page 97 / 434 » Support Vector Regression Machines |
117
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TNN
2010
14 years 7 months ago
2010
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
127
Voted
TNN
2010
14 years 7 months ago
2010
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
129
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IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
The field of human-computer interaction has been widely investigated in the last years, resulting in a variety of systems used in different application fields like virtual reality...
106
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TMI
2010
14 years 11 months ago
2010
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
139
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ESWA
2006
15 years 21 days ago
2006
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...