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CCE
2006
13 years 9 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
PPSN
1990
Springer
14 years 1 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
ICANN
2010
Springer
13 years 9 months ago
Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients
Abstract. Developing superior artificial board-game players is a widelystudied area of Artificial Intelligence. Among the most challenging games is the Asian game of Go, which, des...
Mandy Grüttner, Frank Sehnke, Tom Schaul, J&u...
CPHYSICS
2007
114views more  CPHYSICS 2007»
13 years 9 months ago
GDF v2.0, an enhanced version of GDF
An improved version of the function estimation program GDF is presented. The main enhancements of the new version include: multi-output function estimation, capability of definin...
Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos D...
ICANN
2005
Springer
14 years 2 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...