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JMLR
2011
157views more  JMLR 2011»
13 years 4 months ago
Variable Sparsity Kernel Learning
This paper1 presents novel algorithms and applications for a particular class of mixed-norm regularization based Multiple Kernel Learning (MKL) formulations. The formulations assu...
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattac...
QRE
2008
140views more  QRE 2008»
13 years 8 months ago
Discrete mixtures of kernels for Kriging-based optimization
: 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....
David Ginsbourger, Céline Helbert, Laurent ...
SOSP
2009
ACM
14 years 6 months ago
Helios: heterogeneous multiprocessing with satellite kernels
Helios is an operating system designed to simplify the task of writing, deploying, and tuning applications for heterogeneous platforms. Helios introduces satellite kernels, which ...
Edmund B. Nightingale, Orion Hodson, Ross McIlroy,...
AAAI
2006
13 years 10 months ago
The Robot Intelligence Kernel
The Robot Intelligence Kernel (RIK) is a portable, reconfigurable suite of perceptual, behavioral, and cognitive capabilities that can be used across many different platforms, env...
David J. Bruemmer, Douglas A. Few, Miles C. Walton...
RTAS
2008
IEEE
14 years 3 months ago
Distributed Resource Kernels: OS Support for End-To-End Resource Isolation
The notion of resource reservation for obtaining real-time scheduling guarantees and enforcement of resource usage has gained strong support in recent years. However, much work on...
Karthik Lakshmanan, Raj Rajkumar