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» Extraction of Logical Rules from Neural Networks
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ICDAR
2007
IEEE
13 years 12 months ago
WEB Image Classification Based on the Fusion of Image and Text Classifiers
This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...
Pedro R. Kalva, Fabrício Enembreck, Alessan...
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 2 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
EUSFLAT
2001
130views Fuzzy Logic» more  EUSFLAT 2001»
13 years 9 months ago
Autonomous robot behaviours for co-operative agents using fuzzy logic and subtractive clustering
Intelligent autonomous robots and multiagent systems, having different skills and capabilities for specific subtasks, have the potential to solve problems more efficiently and eff...
Alexandros Mouzakitis, Geoff Roberts
GI
1998
Springer
14 years 9 days ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
CADE
1990
Springer
14 years 4 days ago
Presenting Intuitive Deductions via Symmetric Simplification
In automated deduction systems that are intended for human use, the presentation of a proof is no less important than its discovery. For most of today's automated theorem pro...
Frank Pfenning, Dan Nesmith