2317 search results - page 196 / 464 » classification 2008 |
124
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CORR
2008
Springer
15 years 2 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
145
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COLING
2002
15 years 2 months ago
2002
In order to respond correctly to a free form factual question given a large collection of texts, one needs to understand the question to a level that allows determining some of th...
111
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JMLR
2010
14 years 9 months ago
2010
Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
116
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AUSAI
2008
Springer
15 years 4 months ago
2008
Springer
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
111
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CIVR
2008
Springer
15 years 4 months ago
2008
Springer
In this paper, we propose two ways of improving image classification based on bag-of-words representation [25]. Two shortcomings of this representation are the loss of the spatial...