Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Riccardo Gusso"'
Autor:
Riccardo Gusso
Publikováno v:
Applied General Topology, Vol 3, Iss 2, Pp 133-143 (2002)
We study the behaviour of large, small and medium subsets with respect to homomorphisms and products of groups. Then we introduce the definition af a P-small set in abelian groups and we investigate the relations between this kind of smallness and th
Externí odkaz:
https://doaj.org/article/01aa6b99a0ff4e9380a6f4fc6f46e63e
Publikováno v:
Decisions in Economics and Finance. 44:295-339
In this paper, we amend a multi-criteria methodology known as MURAME, to evaluate the creditworthiness of a large sample of Italian Small and Medium-sized Enterprises, using as input their balance sheet data. This methodology produces results in term
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1a5fa2b945c7311f0b6f40676f86bb6
https://doi.org/10.1007/s10203-021-00322-1
https://doi.org/10.1007/s10203-021-00322-1
Autor:
Giovanni Fasano, Riccardo Gusso, Matteo Diez, Cecilia Leotardi, Andrea Serani, Emilio F. Campana
Publikováno v:
Applied soft computing
info:cnr-pdr/source/autori:Leotardi C.; Serani A.; Diez M.; Campana E.F.; Fasano G.; Gusso R./titolo:Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+/doi:10.1016%2Fj.asoc.2021.107121/rivista:Applied soft computing (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:104
info:cnr-pdr/source/autori:Leotardi C.; Serani A.; Diez M.; Campana E.F.; Fasano G.; Gusso R./titolo:Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+/doi:10.1016%2Fj.asoc.2021.107121/rivista:Applied soft computing (Print)/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:104
This paper describes a class of novel initializations in Deterministic Particle Swarm Optimization (DPSO) for approximately solving costly unconstrained global optimization problems. The initializations are based on choosing specific dense initial po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d3ef0f0930e8c17a502ba5e441d13ca
http://hdl.handle.net/10278/3743048
http://hdl.handle.net/10278/3743048
Publikováno v:
Mathematical and Statistical Methods for Actuarial Sciences and Finance ISBN: 9783030789640
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89695ecd2df8cc5eea9b7da8c6bd3daf
https://doi.org/10.1007/978-3-030-78965-7_22
https://doi.org/10.1007/978-3-030-78965-7_22
Publikováno v:
SSRN Electronic Journal.
In this work we analyze and implement different Reinforcement Learning (RL) algorithms in financial trading system applications. RL-based algorithms applied to financial systems aim to find an optimal policy, that is an optimal mapping between the va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::001781db02525ea1567b8c7e4aefb584
https://doi.org/10.2139/ssrn.3522712
https://doi.org/10.2139/ssrn.3522712
In this paper we use a Multi-Criteria Decision Analysis (MCDA) approach in order to evaluate the creditworthiness of about 40,000 Italian Small and Medium-sized Enterprises (SMEs) viewed as potential applicants for bank loans in the three-year period
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baac005301d44158b4ce060b44f06273
http://hdl.handle.net/10278/3673213
http://hdl.handle.net/10278/3673213
Autor:
Matteo Diez, Giovanni Fasano, Riccardo Gusso, Cecilia Leotardi, Emilio F. Campana, Andrea Serani
Publikováno v:
pp. 322–330, 2016
info:cnr-pdr/source/autori:Diez, Matteo; Serani, Andrea; Leotardi, Cecilia; Campana, Emilio Fortunato; Fasano, Giovanni; Gusso, Riccardo/titolo:Dense orthogonal initialization for deterministic PSO: ORTHOinit+/titolo_volume:/curatori_volume:/editore:/anno:2016
Lecture Notes in Computer Science ISBN: 9783319409993
ICSI (1)
info:cnr-pdr/source/autori:Diez, Matteo; Serani, Andrea; Leotardi, Cecilia; Campana, Emilio Fortunato; Fasano, Giovanni; Gusso, Riccardo/titolo:Dense orthogonal initialization for deterministic PSO: ORTHOinit+/titolo_volume:/curatori_volume:/editore:/anno:2016
Lecture Notes in Computer Science ISBN: 9783319409993
ICSI (1)
This paper describes a novel initialization for Deterministic Particle Swarm Optimization (DPSO), based on choosing specific dense initial positions and velocities for particles. This choice tends to induce orthogonality of particles’ trajectories,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a60dcaf28e32e1b506c01898e4181f65
http://www.scopus.com/record/display.url?eid=2-s2.0-85007481636&origin=inward
http://www.scopus.com/record/display.url?eid=2-s2.0-85007481636&origin=inward
HighlightsFirst application of the particle swarm optimization (PSO) to preference disaggregation problems in a MUlticriteria Ranking MEthod (MURAME) framework.Reformulation of the involved constrained optimization problem in terms of penalized uncon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ec51f4217eb39033261390cef5e074f
http://hdl.handle.net/10278/44344
http://hdl.handle.net/10278/44344
Publikováno v:
Mathematical and Statistical Methods for Actuarial Sciences and Finance ISBN: 9783319024981
In this paper we deal with the problem of preference disaggregation in credit scoring problems developed by using multicriteria analysis. In order to determine the values of the parameters that characterize the preference model of the decision maker,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b94a5648429c9499169b176aced9a0ad
http://hdl.handle.net/10278/37886
http://hdl.handle.net/10278/37886