NCI
2004
13 years 11 months ago
2004
In this paper, we present a neural networks and image analysis based approach to assessing colour deviations in an offset printing process from direct measurements on halftone mult...
NCI
2004
13 years 11 months ago
2004
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
NCI
2004
13 years 11 months ago
2004
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
EUSFLAT
2003
13 years 11 months ago
2003
Recently, several algorithms have been proposed for using neural networks in dynamic analysis of small structural systems, and also constructing adaptive material modeling subrout...
ESANN
2003
13 years 11 months ago
2003
In this tutorial paper about mathematical aspects of neural networks, we will focus on two directions: on the one hand, we will motivate standard mathematical questions and well st...
ESANN
2003
13 years 11 months ago
2003
In this paper we use neural networks to verify the similarity of real astronomical images to predefined reference profiles. We use an innovative technique to encode images that a...
IJCAI
2001
13 years 11 months ago
2001
Neural network ensemble is a learning paradigm where several neural networks are jointly used to solve a problem. In this paper, the relationship between the generalization abilit...
HIS
2001
13 years 11 months ago
2001
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
GAMEON
2001
13 years 11 months ago
2001
This paper investigates the application of neural network techniques to the creation of a program that can play the game of Go with some degree of success. The combination of soft...
IJIT
2004
13 years 11 months ago
2004
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...