top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
Autore Denuit, Michel
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica x, 228 p. : ill. ; 24 cm
Altri autori (Persone) Hainaut, Donatien
Trufin, Julien
Soggetto topico 62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]
91G05 - Actuarial mathematics [MSC 2020]
Soggetto non controllato Actuarial modeling
Insurance risk classification
Machine learning
Supervised learning
Tree-based methods for insurance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0249059
Denuit, Michel  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
Autore Denuit, Michel
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica x, 228 p. : ill. ; 24 cm
Altri autori (Persone) Hainaut, Donatien
Trufin, Julien
Soggetto topico 62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
62J12 - Generalized linear models (logistic models) [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]
62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
91G05 - Actuarial mathematics [MSC 2020]
Soggetto non controllato Actuarial modeling
Insurance risk classification
Machine learning
Supervised learning
Tree-based methods for insurance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00249059
Denuit, Michel  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.]
3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xiv, 146 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020]
68T45 - Machine vision and scene understanding [MSC 2020]
Soggetto non controllato 3D computer vision
3D object detection
3D object recognition
Deep Learning
Explainable machine learning
Machine learning
ModelNet40
Point cloud analysis
Point cloud classification
Point cloud part segmentation
Point cloud registration
PointHop
R-PointHop
Saab transform
ShapeNet
Successive subspace learning
Unsupervised learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274505
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.]
3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xiv, 146 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020]
68T45 - Machine vision and scene understanding [MSC 2020]
Soggetto non controllato 3D computer vision
3D object detection
3D object recognition
Deep Learning
Explainable machine learning
Machine learning
ModelNet40
Point cloud analysis
Point cloud classification
Point cloud part segmentation
Point cloud registration
PointHop
R-PointHop
Saab transform
ShapeNet
Successive subspace learning
Unsupervised learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274505
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A matrix algebra approach to artificial intelligence / Xian-Da Zhang
A matrix algebra approach to artificial intelligence / Xian-Da Zhang
Autore Zhang, Xian-Da
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica xxxiv, 820 p. : ill. ; 25 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
68T01 - General topics in artificial intelligence [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020]
68T20 - Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) [MSC 2020]
90C25 - Convex programming [MSC 2020]
90C59 - Approximation methods and heuristics in mathematical programming [MSC 2020]
ISBN 978-98-11-52769-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00298969
Zhang, Xian-Da  
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
Autore Devroye, Luc
Pubbl/distr/stampa New York, : Springer, 1996
Descrizione fisica XV, 636 p. : ill. ; 25 cm.
Altri autori (Persone) Gyorfi, Laszlo
Lugosi, Gabor
Soggetto topico 68T10 - Pattern recognition, speech recognition [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
62G07 - Density estimation [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
ISBN 03-87946-18-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0063381
Devroye, Luc  
New York, : Springer, 1996
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
A probabilistic theory of pattern recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
Autore Devroye, Luc
Pubbl/distr/stampa New York, : Springer, 1996
Descrizione fisica XV, 636 p. : ill. ; 25 cm
Altri autori (Persone) Gyorfi, Laszlo
Lugosi, Gabor
Soggetto topico 68T10 - Pattern recognition, speech recognition [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
62G07 - Density estimation [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
ISBN 978-03-87946-18-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0063381
Devroye, Luc  
New York, : Springer, 1996
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A Probabilistic Theory of Pattern Recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
A Probabilistic Theory of Pattern Recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
Autore Devroye, Luc
Pubbl/distr/stampa New York, : Springer, 1996
Descrizione fisica XV, 636 p. : ill. ; 25 cm
Altri autori (Persone) Gyorfi, Laszlo
Lugosi, Gabor
Soggetto topico 62G07 - Density estimation [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
68T10 - Pattern recognition, speech recognition [MSC 2020]
Soggetto non controllato Classification
Cognition
Complexity
Pattern recognition
ISBN 978-03-87946-18-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00063381
Devroye, Luc  
New York, : Springer, 1996
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
A Probabilistic Theory of Pattern Recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
A Probabilistic Theory of Pattern Recognition / Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
Autore Devroye, Luc
Pubbl/distr/stampa New York, : Springer, 1996
Descrizione fisica XV, 636 p. : ill. ; 25 cm
Altri autori (Persone) Gyorfi, Laszlo
Lugosi, Gabor
Soggetto topico 62G07 - Density estimation [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
68T10 - Pattern recognition, speech recognition [MSC 2020]
Soggetto non controllato Classification
Cognition
Complexity
Pattern recognition
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00296504
Devroye, Luc  
New York, : Springer, 1996
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Accelerated optimization for machine learning : first-order algorithms / Zhouchen Lin, Huan Li, Cong Fang
Accelerated optimization for machine learning : first-order algorithms / Zhouchen Lin, Huan Li, Cong Fang
Autore Lin, Zhouchen
Pubbl/distr/stampa Singapore, : Springer, 2020
Descrizione fisica xxiv, 275 p. ; 24 cm
Altri autori (Persone) Fang, Cong
Li, Huan
Soggetto topico 68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
Soggetto non controllato Accelerated Algorithms
First-Order Optimization
Machine learning
Optimization
Optimization algorithms
ISBN 978-98-11-52912-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00296985
Lin, Zhouchen  
Singapore, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui