420 search results - page 7 / 84 » Metric-Based Methods for Adaptive Model Selection and Regula... |
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
ML
2000
ACM
13 years 7 months ago
2000
ACM
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
SIAMMAX
2010
13 years 2 months ago
2010
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
GECCO
2004
Springer
14 years 26 days ago
2004
Springer
We present quantitative models for the selection pressure of cellular evolutionary algorithms structured in two dimensional regular lattices. We derive models based on probabilisti...
TMI
2008
13 years 7 months ago
2008
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...