1403 search results - page 37 / 281 » Sampling Techniques for Kernel Methods |
CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
—We develop an algorithm aimed at estimating travel time on segments of a road network using a convex optimization framework. Sampled travel time from probe vehicles are assumed ...
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
Semi-structured data such as XML and HTML is attracting considerable attention. It is important to develop various kinds of data mining techniques that can handle semistructured d...
CSDA
2007
14 years 9 months ago
2007
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
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ICANN
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
JCP
2008
14 years 9 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...