ESANN
2008
13 years 6 months ago
2008
Adapting stimuli to stabilize neural responses is an important problem in the context of cortical prostheses. This paper describes two approaches for stimulus adaptation using supp...
ECML
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
TSD
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We report work on the mapping between the speech signal and articulatory trajectories from the MOCHA database. Contrasting previous works that used Neural Networks for th...
NOLISP
2005
Springer
13 years 10 months ago
2005
Springer
Electropalatography is a well established technique for recording information on the patterns of contact between the tongue and the hard palate during speech. It leads to a stream ...
ICIP
2005
IEEE
13 years 11 months ago
2005
IEEE
—Particle filter is a powerful visual tracking tool based on sequential Monte Carlo framework, and it needs large numbers of samples to properly approximate the posterior density...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— We consider the regression problem for financial time series. Typically, financial time series are non-stationary and volatile in nature. Because of its good generalization p...
HICSS
2006
IEEE
13 years 11 months ago
2006
IEEE
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...
PAKDD
2007
ACM
13 years 11 months ago
2007
ACM
Recent work shows that Support vector machines (SVMs) can be solved efficiently in the primal. This paper follows this line of research and shows how to build sparse support vector...
CIKM
2007
Springer
13 years 11 months ago
2007
Springer
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...