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» Online Gradient Descent Learning Algorithms
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ICML
2009
IEEE
13 years 5 months ago
Multiple indefinite kernel learning with mixed norm regularization
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
Matthieu Kowalski, Marie Szafranski, Liva Ralaivol...
ICML
2008
IEEE
14 years 8 months ago
A worst-case comparison between temporal difference and residual gradient with linear function approximation
Residual gradient (RG) was proposed as an alternative to TD(0) for policy evaluation when function approximation is used, but there exists little formal analysis comparing them ex...
Lihong Li
IJON
2006
138views more  IJON 2006»
13 years 7 months ago
Time-series prediction using a local linear wavelet neural network
A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weigh...
Yuehui Chen, Bo Yang, Jiwen Dong
ESANN
2000
13 years 8 months ago
An algorithm for the addition of time-delayed connections to recurrent neural networks
: Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
Romuald Boné, Michel Crucianu, Jean Pierre ...
ICCV
1998
IEEE
14 years 9 months ago
Multidimensional Morphable Models
We describe a exible model for representing images of objects of a certain class, known a priori, such as faces, and introduce a new algorithm for matching it to a novel image and...
Michael J. Jones, Tomaso Poggio