149 search results - page 23 / 30 » Robust Learning Aided by Context |
141
Voted
ENTCS
2007
15 years 3 months ago
2007
In the domain of software engineering, the use of software components is now a well established approach. However, it raises problems about the dynamic adaptation of these compone...
130
Voted
CIMCA
2006
IEEE
15 years 5 months ago
2006
IEEE
Existing Language Identification (LID) approaches do reach 100% precision, in most common situations, when dealing with documents written in just one language, and when those docu...
165
click to vote
ESANN
2007
15 years 5 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
132
Voted
AIME
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...
127
Voted
IJAR
2008
15 years 3 months ago
2008
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...