Bayesian model comparison versus generalization ability of neural networks

被引：0

作者：

Gomari, M ^{[1
]}

Järvi, T ^{[1
]}

机构：

[1] Turku Ctr Comp Sci, FIN-20520 Turku, Finland

来源：

INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL I AND II | 1999年

关键词：

neural networks; classification; Bayesian inference; evidence; generalization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Generalization ability is a desired feature for any model used for predicting new situation based on some previously learned knowledge. Often a neural network model with a good performance on the training cases does not provide an adequate performance for the unseen cases, i.e. the model is called to have a poor generalization ability. In this paper we discuss the applicability of the Bayesian techniques for measuring the generalization ability of neural networks through a medical case study.

引用

页码：537 / 541

页数：5

共 50 条

[21] How to improve the generalization ability of multi-layer neural networks
Sebesta, V
6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS: INDUSTRIAL SYSTEMS AND ENGINEERING I, 2002, : 108 - 113
[22] PARSIMONY IN NEURAL REPRESENTATIONS - GENERALIZATION OF A MODEL OF SPATIAL ORIENTATION ABILITY
GLASSMAN, RB
PHYSIOLOGICAL PSYCHOLOGY, 1985, 13 (01): : 43 - 47
[23] On the generalization ability of recurrent networks
Hammer, B
ARTIFICIAL NEURAL NETWORKS-ICANN 2001, PROCEEDINGS, 2001, 2130 : 731 - 736
[24] On the Generalization Ability of GRLVQ Networks
Barbara Hammer
Marc Strickert
Thomas Villmann
Neural Processing Letters, 2005, 21 : 109 - 120
[25] Generalization ability of folding networks
Hammer, B
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2001, 13 (02) : 196 - 206
[26] On the generalization ability of GRLVQ networks
Hammer, B
Strickert, M
Villmann, T
NEURAL PROCESSING LETTERS, 2005, 21 (02) : 109 - 120
[27] Bayesian Sparsification for Deep Neural Networks With Bayesian Model Reduction
Markovic, Dimitrije
Friston, Karl J.
Kiebel, Stefan J.
IEEE ACCESS, 2024, 12 : 88231 - 88242
[28] Evolutionary model selection in Bayesian neural networks
Bozza, S
Mantovan, P
Schiavo, RA
BETWEEN DATA SCIENCE AND APPLIED DATA ANALYSIS, 2003, : 378 - 386
[29] GENERALIZATION BY NEURAL NETWORKS
SHEKHAR, S
AMIN, MB
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1992, 4 (02) : 177 - 185
[30] On generalization by neural networks
Kak, SC
INFORMATION SCIENCES, 1998, 111 (1-4) : 293 - 302

← 1 2 3 4 5 →