23 search results - page 4 / 5 » The Loss Rank Principle for Model Selection |
AAAI
2007
13 years 8 months ago
2007
In this paper, we consider the exploration of topological environments by a robot with weak sensory capabilities. We assume only that the robot can recognize when it has reached a...
JMLR
2002
13 years 6 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
CLEF
2005
Springer
13 years 11 months ago
2005
Springer
A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled repr...
BMCBI
2008
13 years 6 months ago
2008
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
INFOCOM
2010
IEEE
13 years 4 months ago
2010
IEEE
Abstract—In this paper, we investigate the fundamental properties of broadcasting in mobile wireless networks. In particular, we characterize broadcast capacity and latency of a ...