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» Training Neural Networks with GA Hybrid Algorithms
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ESANN
2004
13 years 10 months ago
Online policy adaptation for ensemble classifiers
Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
Christos Dimitrakakis, Samy Bengio
CORR
2010
Springer
104views Education» more  CORR 2010»
13 years 8 months ago
Empirical learning aided by weak domain knowledge in the form of feature importance
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...
Ridwan Al Iqbal
ICC
2007
IEEE
212views Communications» more  ICC 2007»
14 years 2 months ago
Middleware Vertical Handoff Manager: A Neural Network-Based Solution
— – Major research challenges in the next generation of wireless networks include the provisioning of worldwide seamless mobility across heterogeneous wireless networks, the im...
Nidal Nasser, Sghaier Guizani, Eyhab Al-Masri
FSKD
2007
Springer
161views Fuzzy Logic» more  FSKD 2007»
14 years 2 months ago
A KFCM-Based Fuzzy Classifier
A proposed KFCM-based fuzzy classifier was introduced. As for the process of constructing such classifier, firstly, the original sample space is mapped into a high dimensional fea...
Aimin Yang, Lingmin Jiang, Yongmei Zhou
IJCNN
2006
IEEE
14 years 2 months ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho