1091 search results - page 119 / 219 » Learning Models for Predicting Recognition Performance |
141
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IJCAI
2007
15 years 4 months ago
2007
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
132
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CIARP
2006
Springer
15 years 5 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
122
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EACL
1993
ACL Anthology
15 years 4 months ago
1993
ACL Anthology
It is traditionally assumed that various sources of linguistic knowledge and their interaction should be formalised in order to be able to convert words into their phonemic repres...
123
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CADE
2001
Springer
16 years 3 months ago
2001
Springer
Context trees are a popular and effective tool for tasks such as compression, sequential prediction, and language modeling. We present an algebraic perspective of context trees for...
136
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We propose a new multiple instance learning (MIL) algorithm to learn image categories. Unlike existing MIL algorithms, in which the individual instances in a bag are assumed to be...