899 search results - page 129 / 180 » Is an ordinal class structure useful in classifier learning |
ICPR
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
ISBI
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
AAAI
2008
13 years 11 months ago
2008
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
MATES
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Taxonomies in the area of Multi-Agent Systems (MAS) classify problems according to the underlying principles and assumptions of the agents’ abilities, rationality and i...