Zobrazeno 1 - 10 of 29 pro vyhledávání: '"GUARRACINO, M. R."'
1
Classification of data chunks using proximal vector machines and singular value decomposition
Autor: IRPINO, Antonio, VERDE, Rosanna, Guarracino, M. R.
Publikováno v: pp. 55–62, 2013
info:cnr-pdr/source/autori:Irpino, Antonio; Guarracino, Mario Rosario; Verde, Rosanna/titolo:Classification of data chunks using proximal vector machines and singular value decomposition/titolo_volume:/curatori_volume:/editore:/anno:2013
Data production grows at an unprecedented increasing rate in every research and technical field. Furthermore, with the explosion of sensors networks and proprietary/legacy classifiers, like those used by banks for assessing the credit approvals, the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bc8e06ae55f97790491e3c01f97ed7b7
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6
A parallel Block Lanczos algorithm and its implementation for the evaluation of some eigenvalues of large sparse symmetric matrices on multicomputers
Autor: Guarracino, M. R., Francesca Perla, Zanetti, P.
Publikováno v: International Journal of Applied Mathematics and Computer Science 16 (2006): 241–249.
info:cnr-pdr/source/autori:Guarracino Mario Rosario (1), Perla Francesca (2), Zanetti Paolo (2)/titolo:A parallel block Lanczos algorithm and its implementation for the evaluation of some eigenvalues of large sparse symmetric matrices on multicomputers/doi:/rivista:International Journal of Applied Mathematics and Computer Science/anno:2006/pagina_da:241/pagina_a:249/intervallo_pagine:241–249/volume:16
Scopus-Elsevier
In the present work we describe HPEC (High Performance Eigenvalues Computation), a parallel software package for the evaluation of some eigenvalues of a large sparse symmetric matrix. It implements an efficient and portable Block Lanczos algorithm fo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2f20db326820f9a5bea218c322d45d35
http://hdl.handle.net/11367/679
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7
A Parallel Computational Kernel For Sparse Nonsymmetric Eigenvalue Problems On Multicomputers
Autor: Guarracino, M. R., Perla, Francesca, Zanetti, Paolo
Publikováno v: International Journal of Pure and Applied Mathematics (Online) 22 (2005): 267–279.
info:cnr-pdr/source/autori:Mario Rosario Guarracino (1), Francesca Perla (2), Paolo Zanetti (2)/titolo:A Parallel Computational Kernel For Sparse Nonsymmetric Eigenvalue Problems On Multicomputers/doi:/rivista:International Journal of Pure and Applied Mathematics (Online)/anno:2005/pagina_da:267/pagina_a:279/intervallo_pagine:267–279/volume:22
The aim of this paper is to show an effective reorganization of the nonsymmetric block lanczos algorithm efficient, portable and scalable for multiple instructions multiple data (MIMD) distributed memory message passing architectures. Basic operation
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e4c3dc25e4d70ecdb5686d75a7fe3340
https://publications.cnr.it/doc/226235
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8
An Adaptable Learning Technology System for Mathematical Models
Autor: Giannino F., (1) Guarracino M. R. (2), Monetti V., (1) Romano N., (1) Toraldo
Publikováno v: ICALT 2004, pp. 654–656, 2004
info:cnr-pdr/source/autori:Giannino F., (1) Guarracino M. R. (2),Monetti V., (1) Romano N., (1) Toraldo, G./congresso_nome:ICALT 2004/congresso_luogo:/congresso_data:2004/anno:2004/pagina_da:654/pagina_a:656/intervallo_pagine:654–656
We propose an Adaptable Learning System named SIRMM (Searchable Information Repository of Mathematical Models), whose goal is to be an user friendly and easy to use educational environment, in which mathematics can be learned moving from real world a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::bed4fa717efba1378bc983477e7bcd1e
http://dl.acm.org/citation.cfm?id=1018423.1020074
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9
Conference
PROTEIN-PROTEIN INTERACTIONS PREDICTION USING 1-NEAREST NEIGHBORS CLASSIFICATION ALGORITHM AND FEATURE SELECTION.
Autor: GUARRACINO, M. R., NEBBIA, A., CHINCHULUUN, A., PARDALOS, P. M.
Publikováno v: Biomat 2009 - International Symposium on Mathematical & Computational Biology; 2010, p263-276, 14p
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10
Conference
LOGIC FORMULAS BASED KNOWLEDGE DISCOVERY AND ITS APPLICATION TO THE CLASSIFICATION OF BIOLOGICAL DATA.
Autor: FELICI, G., BERTOLAZZI, P., GUARRACINO, M. R., CHINCHULUUN, A., PARDALOS, P. M.
Publikováno v: Biomat 2008 - International Symposium on Mathematical & Computational Biology; 2009, p265-279, 15p
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