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» Self-Organizing Neural Networks for Data Projection
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ISNN
2004
Springer
14 years 1 months ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou
EUSFLAT
2001
127views Fuzzy Logic» more  EUSFLAT 2001»
13 years 9 months ago
Soft computing in investment appraisal
Standard financial techniques neglect extreme situations and regards large market shifts as too unlikely to matter. Such approach accounts for what occurs most of the time in the ...
Antoaneta Serguieva, John Hunter, Tatiana Kalganov...
OIR
2011
401views Neural Networks» more  OIR 2011»
12 years 10 months ago
Using Online Collaborative Tools for Groups to Co-Construct Knowledge
(limit 250 words) Purpose This paper reports and describes the use of MediaWiki and Google Docs at undergraduate level as online collaboration tools for co-constructing knowledge i...
Sam Kai Wah Chu, David M. Kennedy
ISNN
2007
Springer
14 years 1 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
ESEM
2007
ACM
13 years 11 months ago
Effort Prediction in Iterative Software Development Processes -- Incremental Versus Global Prediction Models
Estimation of development effort without imposing overhead on the project and the development team is of paramount importance for any software company. This study proposes a new e...
Pekka Abrahamsson, Raimund Moser, Witold Pedrycz, ...