1548 search results - page 100 / 310 » Supervised Tensor Learning |
140
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DAGM
2004
Springer
15 years 10 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
134
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COLING
2000
15 years 5 months ago
2000
The goal of text categorization is to classify documents into a certain number of pre-defined categories. The previous works in this area have used a large number of labeled train...
148
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
121
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IJCNN
2008
IEEE
15 years 11 months ago
2008
IEEE
— Fuzzy Associative Conjuncted Maps (FASCOM) is a fuzzy neural network that represents information by conjuncting fuzzy sets and associates them through a combination of unsuperv...
137
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MICCAI
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...