1864 search results - page 102 / 373 » Modeling Classification and Inference Learning |
TACAS
2007
Springer
15 years 6 months ago
2007
Springer
This paper is concerned with bridging the gap between requirements, provided as a set of scenarios, and conforming design models. The novel aspect of our approach is to exploit lea...
115
Voted
IJAR
2010
14 years 11 months ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
113
Voted
ICONIP
2009
14 years 10 months ago
2009
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
111
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
101
Voted
ICASSP
2010
IEEE
15 years 26 days ago
2010
IEEE
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...