307 search results - page 3 / 62 » Classification Using a Hierarchical Bayesian Approach |
151
Voted
BMCBI
2007
15 years 1 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
101
Voted
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
129
Voted
GECCO
2000
Springer
15 years 4 months ago
2000
Springer
The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It de nes the class of hierarchically decomposable f...
101
Voted
PAMI
2007
15 years 19 days ago
2007
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
125
Voted
AUSAI
2006
Springer
15 years 4 months ago
2006
Springer
There is increasing evidence to suggest that the neocortex of the mammalian brain does not consist of a collection of specialised and dedicated cortical architectures, but instead ...