4591 search results - page 154 / 919 » Learning from Dyadic Data |
145
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INCDM
2010
Springer
15 years 2 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
164
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ICMCS
2008
IEEE
15 years 10 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
147
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CORR
2012
Springer
13 years 11 months ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
133
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SCIA
2005
Springer
15 years 9 months ago
2005
Springer
We propose reliable outdoor object detection on mobile phone imagery from off-the-shelf devices. With the goal to provide both robust object detection and reduction of computation...
148
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ISMB
1993
15 years 5 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...