769 search results - page 62 / 154 » Bayesian Generalized Kernel Models |
ICML
2010
IEEE
14 years 11 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 ...
IJON
1998
14 years 9 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
QRE
2008
14 years 9 months ago
2008
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...