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ENGL
2007
148views more  ENGL 2007»
14 years 10 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas
BMCBI
2010
179views more  BMCBI 2010»
14 years 10 months ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
ILP
1999
Springer
15 years 2 months ago
Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition
This paper presents an application of Inductive Logic Programming (ILP) and Backpropagation Neural Network (BNN) to the problem of Thai character recognition. In such a learning pr...
Boonserm Kijsirikul, Sukree Sinthupinyo
BIOWIRE
2007
Springer
15 years 4 months ago
Bio-Inspired Multi-agent Collaboration for Urban Monitoring Applications
Vehicular sensor networks (VSNs) provide a collaborative sensing environment where mobile vehicles equipped with sensors of different nature (from chemical detectors to still/video...
Uichin Lee, Eugenio Magistretti, Mario Gerla, Paol...
CIKM
2009
Springer
15 years 4 months ago
Networks, communities and kronecker products
Emergence of the web and online computing applications gave rise to rich large scale social activity data. One of the principal challenges then is to build models and understandin...
Jure Leskovec