299 search results - page 48 / 60 » Multiple kernel learning and feature space denoising |
139
Voted
SDM
2007
SIAM
15 years 5 months ago
2007
SIAM
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
123
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
148
Voted
MIR
2010
ACM
15 years 8 months ago
2010
ACM
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
120
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Although support vector machines (SVMs) for binary classification give rise to a decision rule that only relies on a subset of the training data points (support vectors), it will ...
132
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...