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» Active Learning for Structure in Bayesian Networks
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IJCNN
2008
IEEE
15 years 4 months ago
A comparison of architectural varieties in Radial Basis Function Neural Networks
— Representation of knowledge within a neural model is an active field of research involved with the development of alternative structures, training algorithms, learning modes an...
Mehmet Önder Efe, Cosku Kasnakoglu
ESANN
2004
14 years 11 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
15 years 10 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
ISORC
2000
IEEE
15 years 2 months ago
Establishing a Data-Mining Environment for Wartime Event Prediction with an Object-Oriented Command and Control Database
This paper documents progress to date on a research project, the goal of which is wartime event prediction. The paper describes the operational concept, the datamining environment...
Marion G. Ceruti, S. Joe McCarthy
ENGL
2007
148views more  ENGL 2007»
14 years 9 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