99 search results - page 11 / 20 » Learning Taxonomies by Dependence Maximization |
ICMCS
2007
IEEE
15 years 6 months ago
2007
IEEE
We propose a discriminative learning approach for fusing multichannel sequential data with application to detect unsafe driving patterns from multi-channel driving recording data....
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
99
Voted
PKDD
2009
Springer
15 years 7 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
102
Voted
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
Since the classical work of D. O. Hebb [1] it has been assumed that synaptic plasticity solely depends on the activity of the pre- and the postsynaptic cell. Synapses influence th...
103
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NN
1997
Springer
15 years 4 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...