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IJON
2008
156views more  IJON 2008»
14 years 12 months ago
Structural identifiability of generalized constraint neural network models for nonlinear regression
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Courn&eg...
SMA
2010
ACM
192views Solid Modeling» more  SMA 2010»
14 years 6 months ago
Infinitesimally Robust estimation in general smoothly parametrized models
Abstract The aim of the paper is to give a coherent account of the robustness approach based on shrinking neighborhoods in the case of i.i.d. observations, and add some theoretical...
Matthias Kohl, Peter Ruckdeschel, Helmut Rieder
ILP
2005
Springer
15 years 5 months ago
A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment
We propose a new approach to Inductive Logic Programming that systematically exploits caching and offers a number of advantages over current systems. It avoids redundant computati...
Héctor Corrada Bravo, David Page, Raghu Ram...
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 4 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
RT
1995
Springer
15 years 3 months ago
A Clustering Algorithm for Radiance Calculation in General Environments
: This paper introduces an efficient hierarchical algorithm capable of simulating light transfer for complex scenes containing non-diffuse surfaces. The algorithmstemsfroma newfor...
François X. Sillion, George Drettakis, Cyri...