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117
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ESANN
2006
15 years 4 months ago
Diversity creation in local search for the evolution of neural network ensembles
Abstract. The EENCL algorithm [1] automatically designs neural network ensembles for classification, combining global evolution with local search based on gradient descent. Two mec...
Pete Duell, Iris Fermin, Xin Yao
139
Voted
ESANN
2003
15 years 4 months ago
Extraction of fuzzy rules from trained neural network using evolutionary algorithm
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
Urszula Markowska-Kaczmar, Wojciech Trelak
124
Voted
ICWN
2003
15 years 4 months ago
Localization in Wireless Sensor Networks: A Probabilistic Approach
— In this paper we consider a probabilistic approach to the problem of localization in wireless sensor networks and propose a distributed algorithm that helps unknown nodes to de...
Vaidyanathan Ramadurai, Mihail L. Sichitiu
82
Voted
WSC
2004
15 years 3 months ago
Statistical Analyses for Simulating Schedule Networks
This paper introduces the Stochastic Project Scheduling Simulation (SPSS) system and two additional useful statistical analysis tools. SPSS integrates CPM, PERT, and Discrete Even...
Dong-Eun Lee, Jonathan Jingsheng Shi
ICML
2010
IEEE
15 years 3 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos