357 search results - page 1 / 72 » The Use of Classifiers in Sequential Inference |
NIPS
2000
13 years 6 months ago
2000
We study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular, we deve...
KESAMSTA
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
AAAI
2004
13 years 6 months ago
2004
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
LREC
2008
13 years 6 months ago
2008
The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a ...