296 search results - page 2 / 60 » How to process uncertainty in machine learning |
TSD
2010
Springer
13 years 2 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
SEMWEB
2005
Springer
13 years 10 months ago
2005
Springer
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
ICML
1989
IEEE
13 years 9 months ago
1989
IEEE
The training experiences needed by a learning system may be selected by either an external agent or the system itself. We show that knowledge of the current state of the learner&#...
NPL
2008
13 years 4 months ago
2008
: - This paper addresses an inverse controller design for excitation system with changing parameters and nonsmooth nonlinearities in the actuator. The existence of such nonlinearit...