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IWANN
2009
Springer
14 years 2 months ago
Development of Neural Network Structure with Biological Mechanisms
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
Samuel Johnson, Joaquín Marro, Jorge F. Mej...
IJCAI
2003
13 years 9 months ago
Collaborative Filtering Using Associative Neural Memory
There are two types of collaborative filtering (CF) systems, user-based and item-based. This paper introduces an item-based CF system for ranking derived from Linear Associative ...
Chuck P. Lam
ESWA
2007
100views more  ESWA 2007»
13 years 8 months ago
Treatment of multi-dimensional data to enhance neural network estimators in regression problems
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
H. Altun, A. Bilgil, B. C. Fidan
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
14 years 8 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
TSMC
2008
100views more  TSMC 2008»
13 years 8 months ago
Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays
Abstract--In this paper, a synchronization problem is investigated for an array of coupled complex discrete-time networks with the simultaneous presence of both the discrete and di...
Yurong Liu, Zidong Wang, Jinling Liang, Xiaohui Li...