Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Šarūnas Raudys"'
Publikováno v:
Computational Science and Techniques, Vol 1, Iss 1, Pp 30-35 (2013)
When analyzing stock market data, it is common to encounter observations that differ from the overall pattern. It is known as the problem of robustness. Presence of outlying observations in different data sets may strongly influence the result of cla
Externí odkaz:
https://doaj.org/article/b8423c5f7fef4ec8a2261a0d28078a68
Publikováno v:
Technological and Economic Development of Economy, Vol 20, Iss 1 (2014)
To understand large-scale portfolio construction tasks we analyse sustainable economy problems by splitting up large tasks into smaller ones and offer an evolutional feed-forward system-based approach. The theoretical justification for our solution i
Externí odkaz:
https://doaj.org/article/a406252e34e9404aa403d10262c1897a
Autor:
Dean M. Young, Šarūnas Raudys
Publikováno v:
Journal of Multivariate Analysis. 89:1-35
Much work in discriminant analysis and statistical pattern recognition has been performed in the former Soviet Union. However, most results derived by former Soviet Union researchers are unknown to statisticians and statistical pattern recognition re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbf5ea95428a46ac4ad1a184ef91391f
https://doi.org/10.1016/s0047-259x(02)00021-0
https://doi.org/10.1016/s0047-259x(02)00021-0
Autor:
Ausra Saudargiene, Šarūnas Raudys
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 23:233-239
Structuralization of the covariance matrix reduces the number of parameters to be estimated from the training data and does not affect an increase in the generalization error asymptotically as both the number of dimensions and training sample size gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eebe837407c4e64b725bb4257515fdc3
https://doi.org/10.1109/34.908975
https://doi.org/10.1109/34.908975
Autor:
Šarūnas Raudys
Publikováno v:
Pattern Recognition. 33:1989-1998
A new regularization method - a scaled rotation - is proposed and compared with the standard linear regularized discriminant analysis. A sense of the method consists in the singular value decomposition S=TDT′ of a sample covariance matrix S and a u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e67a15667313edc4efc4b4944c8f141
https://doi.org/10.1016/s0031-3203(99)00183-1
https://doi.org/10.1016/s0031-3203(99)00183-1
Autor:
Sarunas Raudys
Automatic (machine) recognition, description, classification, and groupings of patterns are important problems in a variety of engineering and scientific disciplines such as biology, psychology, medicine, marketing, computer vision, artificial intell
Autor:
Šarūnas Raudys
Publikováno v:
Neural Networks. 11:297-313
Unlike many other investigations on this topic, the present one does not consider the nonlinear SLP as a single special type of the classification rule. In SLP training we can obtain seven statistical classifiers of differing complexity: (1) the Eucl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fce90bfd6ea201b1837efb48a0ed571d
https://doi.org/10.1016/s0893-6080(97)00136-6
https://doi.org/10.1016/s0893-6080(97)00136-6
Autor:
Šarūnas Raudys
Publikováno v:
Advanced Information and Knowledge Processing ISBN: 9781846281716
The size of the training set is important in characterizing data complexity. If a standard Fisher linear discriminant function or an Euclidean distance classifier is used to classify two multivariate Gaussian populations sharing a common covariance m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6be143040afac00d2a99cd9216a58e6
https://doi.org/10.1007/978-1-84628-172-3_3
https://doi.org/10.1007/978-1-84628-172-3_3
Autor:
Šarūnas Raudys
Publikováno v:
Advances in Artificial Life ISBN: 9783540288480
ECAL
ECAL
The paper considers supervised learning algorithm of nonlinear perceptron with dynamic targets adjustment which assists in faster learning and cognition. A difference between targets of the perceptron corresponding to objects of the first and second
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccfec610c98e5a9d3cdead1d8461909e
https://doi.org/10.1007/11553090_1
https://doi.org/10.1007/11553090_1
Autor:
Masakazu Iwamura, Šarūnas Raudys
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540225706
SSPR/SPR
SSPR/SPR
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provides good starting weight vector, and fast training of single layer perce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94c4ce678fd049b4e037c846480bf26f
https://doi.org/10.1007/978-3-540-27868-9_79
https://doi.org/10.1007/978-3-540-27868-9_79