2033 search results - page 374 / 407 » Support Vector Committee Machines |
143
Voted
SSPR
2010
Springer
15 years 24 days ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
131
Voted
ICWSM
2009
15 years 4 days ago
2009
User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their...
136
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
153
Voted
ICIP
2003
IEEE
16 years 4 months ago
2003
IEEE
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
142
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KDD
2010
ACM
15 years 6 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...