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» Neural Network Algorithms for the p-Median Problem
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CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 11 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
IJCNN
2006
IEEE
15 years 5 months ago
Predictive Random Graph Ranking on the Web
Abstract— The incomplete information about the Web structure causes inaccurate results of various ranking algorithms. In this paper, we propose a solution to this problem by form...
Haixuan Yang, Irwin King, Michael R. Lyu
IJCNN
2006
IEEE
15 years 5 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
ESANN
2006
15 years 15 days ago
Immune Network based Ensembles
This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
Nicolás García-Pedrajas, Colin Fyfe
NN
2002
Springer
136views Neural Networks» more  NN 2002»
14 years 10 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani