267 search results - page 10 / 54 » Ridgelet kernel regression |
ICIC
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The...
NAACL
2007
13 years 9 months ago
2007
We present a novel machine translation framework based on kernel regression techniques. In our model, the translation task is viewed as a string-to-string mapping, for which a reg...
TIP
2008
13 years 6 months ago
2008
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Previous Multiple Kernel Learning approaches (MKL) employ different kernels by their linear combination. Though some improvements have been achieved over methods using single kerne...
PROMISE
2010
13 years 2 months ago
2010
Background. Recent studies have shown that Support Vector Regression (SVR) has an interesting potential in the field of effort estimation. However applying SVR requires to careful...