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ISNN
2005
Springer
15 years 5 months ago
Application of Neural Networks for Very Short-Term Load Forecasting in Power Systems
Load forecasting has become in recent years one of the major areas of research in electrical engineering. In a deregulated, competitive power market, utilities tend to maintain the...
Hungcheng Chen, Kuohua Huang, Lungyi Chang
ICML
2008
IEEE
16 years 19 days ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
SSPR
1998
Springer
15 years 4 months ago
Modified Minimum Classification Error Learning and Its Application to Neural Networks
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
Hiroshi Shimodaira, Jun Rokui, Mitsuru Nakai
IJIT
2004
15 years 1 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
JUCS
2007
112views more  JUCS 2007»
14 years 11 months ago
Internet Path Behavior Prediction via Data Mining: Conceptual Framework and Case Study
: In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
Leszek Borzemski