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» An Effective Learning Method for Max-Min Neural Networks
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IJCNN
2006
IEEE
14 years 2 months ago
Dynamic Hyperparameter Scaling Method for LVQ Algorithms
— We propose a new annealing method for the hyperparameters of several recent Learning Vector Quantization algorithms. We first analyze the relationship between values assigned ...
Sambu Seo, Klaus Obermayer
ECIS
2000
13 years 10 months ago
Information Filtering and Automatic Keyword Identification by Artificial Neural Networks
Information filtering (IF) systems usually filter data items by correlating a vector of terms (keywords) that represent the user profile with similar vectors of terms that represe...
Zvi Boger, Tsvi Kuflik, Bracha Shapira, Peretz Sho...
HIS
2003
13 years 10 months ago
Decision Support Systems Using Hybrid Neurocomputing
This paper suggests a decision support system for tactical air combat environment where not much prior information is available about the decision regions. We proposed a combinati...
Cong Tran, Ajith Abraham, Lakhmi C. Jain
ICONIP
2008
13 years 10 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 2 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley