1521 search results - page 132 / 305 » A learning model for oscillatory networks |
137
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ALT
2009
Springer
16 years 3 months ago
2009
Springer
Motivated by a problem of targeted advertising in social networks, we introduce and study a new model of online learning on labeled graphs where the graph is initially unknown and...
179
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ICANN
2009
Springer
15 years 10 months ago
2009
Springer
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
179
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ICANN
2009
Springer
2009
Springer
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
15 years 10 months ago
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
222
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JMLR
2008
15 years 6 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
296
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Book
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...