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14 years 7 months ago
Bayesian variable order Markov models.
We present a simple, effective generalisation of variable order Markov models to full online Bayesian estimation. The mechanism used is close to that employed in context tree wei...
Christos Dimitrakakis
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 5 months ago
Prediction of Skin Penetration Using Machine Learning Methods
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams...
IJCNN
2006
IEEE
14 years 4 months ago
Recurrent Neural Network Based Gating for Natural Gas Load Prediction System
Abstract— Prediction of natural gas consumption is an important element in gas load management aimed to better utilize the facilities of a gas distribution system. The major chal...
Petr Musílek, Emil Pelikán, Tomas Br...
IR
2002
13 years 10 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan
ICPR
2004
IEEE
14 years 12 months ago
Joint Spatial and Temporal Structure Learning for Task based Control
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
Hilary Buxton, Kingsley Sage