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IJCNN
2007
IEEE
15 years 4 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
IWANN
2007
Springer
15 years 3 months ago
Non-parametric Residual Variance Estimation in Supervised Learning
The residual variance estimation problem is well-known in statistics and machine learning with many applications for example in the field of nonlinear modelling. In this paper, we...
Elia Liitiäinen, Amaury Lendasse, Francesco C...
WIOPT
2005
IEEE
15 years 3 months ago
NEURAL: A Self-Organizing Routing Algorithm for Ad Hoc Networks
This paper evaluates a self-organizing routing protocol for Ad Hoc network, called the NEUron Routing ALgorithm (NEURAL). NEURAL has been designed taking into account the learning...
Vicente E. Mujica V, Dorgham Sisalem, Radu Popescu...
IPPS
2005
IEEE
15 years 3 months ago
P2PDisCo - Java Distributed Computing for Workstations Using Chedar Peer-to-Peer Middleware
This paper introduces Peer-to-Peer Distributed Computing (P2PDisCo) software, which provides an interface for distributing the computation of Java programs to multiple workstation...
Niko Kotilainen, Mikko Vapa, Matthieu Weber, Joni ...
IWANN
2001
Springer
15 years 2 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno