420 search results - page 65 / 84 » Metric-Based Methods for Adaptive Model Selection and Regula... |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
In this paper we give a short theoretical description of the general predictive adaptive arithmetic coding technique. The links between this technique and the works of J. Rissanen...
CCECE
2006
IEEE
14 years 1 months ago
2006
IEEE
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...