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CMG
2004
13 years 10 months ago
Generating Realistic TCP Workloads
The workload of a network is usually a heterogeneous aggregate of services and applications, driven by a large number of users. This complexity makes it challenging to evaluate th...
Félix Hernández-Campos, F. Donelson ...
IJCNN
2006
IEEE
14 years 2 months ago
A Variational EM Approach to Predicting Uncertainty in Supervised Learning
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
Markus Harva
NN
2000
Springer
123views Neural Networks» more  NN 2000»
13 years 8 months ago
Local minima and plateaus in hierarchical structures of multilayer perceptrons
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
Kenji Fukumizu, Shun-ichi Amari
ICONIP
2008
13 years 10 months ago
Frost Prediction Characteristics and Classification Using Computational Neural Networks
The effect of frost on the successful growth and quality of crops is well understood by growers as leading potentially to total harvest failure. Studying the frost phenomenon, espe...
Philip Sallis, Mary Carmen Jarur Muñoz, Mar...
ICANN
2009
Springer
13 years 6 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...