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» Fuzzy approach to meta-analysis
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NN
2006
Springer
114views Neural Networks» more  NN 2006»
13 years 7 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
CVIU
2011
12 years 11 months ago
A comparative study of object-level spatial context techniques for semantic image analysis
Abstract—In this paper, three approaches to utilizing objectlevel spatial contextual information for semantic image analysis are presented and comparatively evaluated. Contextual...
Georgios Th. Papadopoulos, Carsten Saathoff, Hugo ...
DLOG
2011
12 years 11 months ago
On the Problem of Weighted Max-DL-SAT and its Application to Image Labeling
Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
Stefan Scheglmann, Carsten Saathoff, Steffen Staab
EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 12 hour ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
WWW
2001
ACM
14 years 8 months ago
Combining RDF and XML schemas to enhance interoperability between metadata application profiles
The term "application profile" has recently become highly topical. Heery and Patel [1] define application profiles as metadata schemas which consist of metadata elements...
Jane Hunter, Carl Lagoze