1091 search results - page 151 / 219 » Learning Models for Predicting Recognition Performance |
113
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MLG
2007
Springer
15 years 9 months ago
2007
Springer
As a fundamental problem in pattern recognition, graph matching has found a variety of applications in the field of computer vision. In graph matching, patterns are modeled as gr...
137
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KDD
2009
ACM
15 years 10 months ago
2009
ACM
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
131
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GECCO
2007
Springer
15 years 9 months ago
2007
Springer
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
136
Voted
KDD
2008
ACM
16 years 3 months ago
2008
ACM
In this work, we address the problem of joint modeling of text and citations in the topic modeling framework. We present two different models called the Pairwise-Link-LDA and the ...
143
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ICANN
2005
Springer
15 years 8 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...