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TNN
2008
82views more  TNN 2008»
14 years 9 months ago
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
In this paper, a general method for the numerical solution of maximum-likelihood estimation (MLE) problems is presented; it adopts the deterministic learning (DL) approach to find ...
Cristiano Cervellera, Danilo Macciò, Marco ...
ICDAR
2011
IEEE
13 years 9 months ago
Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images
—We present a method for spotting a subgraph in a graph repository. Subgraph spotting is a very interesting research problem for various application domains where the use of a re...
Muhammad Muzzamil Luqman, Jean-Yves Ramel, Josep L...
ICALT
2006
IEEE
15 years 3 months ago
The Design of Internet Collaborative Learning System with Embedded Load-Balancing Broker
To transplant the six characteristics of traditional collaborative learning into the network collaborative learning environment, this paper proposes the design of an Internet coll...
Fu-Chien Kao, Chia-Wei Liu, Zhi-Hua Ji, Chia-Liang...
77
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IJCNN
2008
IEEE
15 years 3 months ago
A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
Eric Granger, Jean-François Connolly, Rober...
WMTE
2005
IEEE
15 years 3 months ago
Supporting Activity Awareness for Teams-Games-Tournaments with GSM Network
The Internet can be used to promote collaborative learning among students. However, since the web-based collaborative learning environment relies entirely on the availability of c...
Chen-Chung Liu, Shu-Yuan Tao, Jinu-Ning Nee, Baw-J...