ICANN
2009
Springer
13 years 9 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
ICANN
2009
Springer
13 years 9 months ago
2009
Springer
Mapping brain activity patterns in external actions has been studied in recent decades and is the base of a brain-computer interface. This type of interface is extremely useful for...
ICANN
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. A new classification algorithm based on combination of kernel density estimators is introduced. The method combines the estimators with different bandwidths what can be i...
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
In the paper a new measure of distance between events/observations in the pattern space is proposed and experimentally evaluated with the use of k-NN classifier in the context of b...
ICANN
2009
Springer
2009
Springer
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
14 years 3 months ago
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
Inspired by biological findings, we present a system that is able to robustly identify a large number of pre-trained objects in realtime. In contrast to related work, we do not res...
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
ICANN
2009
Springer
14 years 4 months ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
ICANN
2009
Springer
14 years 4 months ago
2009
Springer
