UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues

IEEE transaction on neural networks and learning systems, 2013-03, Vol.24 (3), p.448-459

Raudys, Sarunas

2013

Volltextzugriff (PDF)

Pairwise Costs in Multiclass Perceptrons

IEEE transactions on pattern analysis and machine intelligence, 2010-07, Vol.32 (7), p.1324-1328

2010

Volltextzugriff (PDF)

Trainable fusion rules. I. Large sample size case

Neural networks, 2006-12, Vol.19 (10), p.1506-1516

RAUDYS, Sarunas

2006

Volltextzugriff (PDF)

Trainable fusion rules. II. Small sample-size effects

Neural networks, 2006-12, Vol.19 (10), p.1517-1527

RAUDYS, Sarunas

2006

Volltextzugriff (PDF)

Immunology-Based Sustainable Portfolio Management

Sustainability, 2022-03, Vol.14 (5), p.2531

2022

Volltextzugriff (PDF)

Sustainable economy inspired large-scale feed-forward portfolio construction

Technological and economic development of economy, 2014-03, Vol.20 (1), p.79-96

2014

Volltextzugriff (PDF)

Dynamically Controlled Length of Training Data for Sustainable Portfolio Selection

Sustainability, 2018-06, Vol.10 (6), p.1911

2018

Volltextzugriff (PDF)

Feature over-selection

Lecture notes in computer science, 2006, p.622-631

RAUDYS, Sarunas

2006

Volltextzugriff (PDF)

The Multi-Agent System for Prediction of Financial Time Series

Artificial Intelligence and Soft Computing – ICAISC 2006, 2006, p.653-662

2006

Volltextzugriff (PDF)

Results in statistical discriminant analysis: a review of the former Soviet Union literature

Journal of multivariate analysis, 2004-04, Vol.89 (1), p.1-35

2004

Volltextzugriff (PDF)

Generalization error of multinomial classifier

Lecture notes in computer science, 2006, p.502-511

RAUDYS, Sarunas

2006

Volltextzugriff (PDF)

Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers

Neural networks, 1998-03, Vol.11 (2), p.283-296

RAUDYS, S

1998

Volltextzugriff (PDF)

The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement

Lecture notes in computer science, 2003, p.55-64

2003

Volltextzugriff (PDF)

Portfolio Inputs Selection from Imprecise Training Data

Schedae Informaticae, 2017, Vol.1/2016

2017

Volltextzugriff (PDF)

Integration of Statistical and Neural Methods to Design Classifiers in Case of Unequal Covariance Matrices

KI 2004: Advances in Artificial Intelligence, 2004, p.270-280

2004

Volltextzugriff (PDF)

Taxonomy of Classifiers Based on Dissimilarity Features

Lecture notes in computer science, 2005, p.136-145

2005

Volltextzugriff (PDF)

Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix

Pattern recognition letters, 1998-04, Vol.19 (5), p.385-392

1998

Volltextzugriff (PDF)

Multicategory Nets of Single-Layer Perceptrons: Complexity and Sample-Size Issues

IEEE transaction on neural networks and learning systems, 2010-05, Vol.21 (5), p.784-795

2010

Volltextzugriff (PDF)

Small sample size effects in statistical pattern recognition: recommendations for practitioners

IEEE transactions on pattern analysis and machine intelligence, 1991-03, Vol.13 (3), p.252-264

1991

Volltextzugriff (PDF)

Experts' boasting in trainable fusion rules

IEEE transactions on pattern analysis and machine intelligence, 2003-09, Vol.25 (9), p.1178-1182

Raudys, S.

2003

Volltextzugriff (PDF)

Yerkes-Dodson Law in Agents’ Training

Lecture notes in computer science, 2003, p.54-58

2003

Volltextzugriff (PDF)

Evolution and generalization of a single neurone:: II. Complexity of statistical classifiers and sample size considerations

Neural networks, 1998-03, Vol.11 (2), p.297-313

RAUDYS, S

1998

Volltextzugriff (PDF)

Multiple Classifiers System for Reducing Influences of Atypical Observations

Lecture notes in computer science, 2004, p.233-242

2004

Volltextzugriff (PDF)

Prediction of Commodity Prices in Rapidly Changing Environments

Lecture notes in computer science, 2005, p.154-163

2005

Volltextzugriff (PDF)

Structures of covariance matrix in handwritten character recognition

Lecture notes in computer science, 2004, p.725-733

2004

Volltextzugriff (PDF)

1 – 25 von 76

Menü

Weitere Dienste

Einstellungen

Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues

Pairwise Costs in Multiclass Perceptrons

Trainable fusion rules. I. Large sample size case

Trainable fusion rules. II. Small sample-size effects

Immunology-Based Sustainable Portfolio Management

Sustainable economy inspired large-scale feed-forward portfolio construction

Dynamically Controlled Length of Training Data for Sustainable Portfolio Selection

Feature over-selection

The Multi-Agent System for Prediction of Financial Time Series

Results in statistical discriminant analysis: a review of the former Soviet Union literature

Generalization error of multinomial classifier

Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers

The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement

Portfolio Inputs Selection from Imprecise Training Data

Integration of Statistical and Neural Methods to Design Classifiers in Case of Unequal Covariance Matrices

Taxonomy of Classifiers Based on Dissimilarity Features

Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix

Multicategory Nets of Single-Layer Perceptrons: Complexity and Sample-Size Issues

Small sample size effects in statistical pattern recognition: recommendations for practitioners

Experts' boasting in trainable fusion rules

Yerkes-Dodson Law in Agents’ Training

Evolution and generalization of a single neurone:: II. Complexity of statistical classifiers and sample size considerations

Multiple Classifiers System for Reducing Influences of Atypical Observations

Prediction of Commodity Prices in Rapidly Changing Environments

Structures of covariance matrix in handwritten character recognition

Suchergebnisse filtern