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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications / Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty editors
| Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines : Theory, Algorithms and Applications / Jamal Amani Rad, Kourosh Parand, Snehashish Chakraverty editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2023 |
| Descrizione fisica | xiv, 305 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
68-XX - Computer science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Fractional
Kernel Orthogonal functions Pattern recognition Support vector machine |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279238 |
| Singapore, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modern Statistical Methods for Health Research / Yichuan Zhao, (Din) Ding-Geng Chen editors
| Modern Statistical Methods for Health Research / Yichuan Zhao, (Din) Ding-Geng Chen editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xxv, 496 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62N05 - Reliability and life testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R10 - Functional data analysis [MSC 2020] |
| Soggetto non controllato |
Alzheimer's disease
Biological network Classification Classifier Clinical trial Clustering methods Electronic health records Flase discovery rate Fluorence image data Functional data analysis Gene expression analysis Genome wide association studies Infectious disease epidemiology Support vector machine Surveillance streams Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274980 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modern Statistical Methods for Health Research / Yichuan Zhao, (Din) Ding-Geng Chen editors
| Modern Statistical Methods for Health Research / Yichuan Zhao, (Din) Ding-Geng Chen editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xxv, 496 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62N05 - Reliability and life testing [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R10 - Functional data analysis [MSC 2020] |
| Soggetto non controllato |
Alzheimer's disease
Biological network Classification Classifier Clinical trial Clustering methods Electronic health records Flase discovery rate Fluorence image data Functional data analysis Gene expression analysis Genome wide association studies Infectious disease epidemiology Support vector machine Surveillance streams Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274980 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Robust optimization [[electronic resource] /] / Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
| Robust optimization [[electronic resource] /] / Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski |
| Autore | Ben-Tal A |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, NJ, : Princeton University Press, c2009 |
| Descrizione fisica | 1 online resource (565 p.) |
| Disciplina | 519.6 |
| Altri autori (Persone) |
El GhaouiLaurent
NemirovskiĭArkadiĭ Semenovich |
| Collana | Princeton Series in Applied Mathematics |
| Soggetto topico |
Robust optimization
Linear programming |
| Soggetto non controllato |
0O
Accuracy and precision Additive model Almost surely Approximation algorithm Approximation Best, worst and average case Bifurcation theory Big O notation Candidate solution Central limit theorem Chaos theory Coefficient Computational complexity theory Constrained optimization Convex hull Convex optimization Convex set Cumulative distribution function Curse of dimensionality Decision problem Decision rule Degeneracy (mathematics) Diagram (category theory) Duality (optimization) Dynamic programming Exponential function Feasible region Floor and ceiling functions For All Practical Purposes Free product Ideal solution Identity matrix Inequality (mathematics) Infimum and supremum Integer programming Law of large numbers Likelihood-ratio test Linear dynamical system Linear inequality Linear map Linear matrix inequality Linear programming Linear regression Loss function Margin classifier Markov chain Markov decision process Mathematical optimization Max-plus algebra Maxima and minima Multivariate normal distribution NP-hardness Norm (mathematics) Normal distribution Optimal control Optimization problem Orientability P versus NP problem Pairwise Parameter Parametric family Probability distribution Probability Proportionality (mathematics) Quantity Random variable Relative interior Robust control Robust decision-making Robust optimization Semi-infinite Sensitivity analysis Simple set Singular value Skew-symmetric matrix Slack variable Special case Spherical model Spline (mathematics) State variable Stochastic calculus Stochastic control Stochastic optimization Stochastic programming Stochastic Strong duality Support vector machine Theorem Time complexity Uncertainty Uniform distribution (discrete) Unimodality Upper and lower bounds Variable (mathematics) Virtual displacement Weak duality Wiener filter With high probability Without loss of generality |
| ISBN |
1-282-25928-8
9786612259289 1-4008-3105-9 |
| Classificazione | SK 870 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Contents -- Preface -- Part I. Robust Linear Optimization -- Chapter One. Uncertain Linear Optimization Problems and their Robust Counterparts -- Chapter Two. Robust Counterpart Approximations of Scalar Chance Constraints -- Chapter Three. Globalized Robust Counterparts of Uncertain LO Problems -- Chapter Four. More on Safe Tractable Approximations of Scalar Chance Constraints -- Part II. Robust Conic Optimization -- Chapter Five. Uncertain Conic Optimization: The Concepts -- Chapter Six. Uncertain Conic Quadratic Problems with Tractable RCs -- Chapter Seven. Approximating RCs of Uncertain Conic Quadratic Problems -- Chapter Eight. Uncertain Semidefinite Problems with Tractable RCs -- Chapter Nine. Approximating RCs of Uncertain Semidefinite Problems -- Chapter Ten. Approximating Chance Constrained CQIs and LMIs -- Chapter Eleven. Globalized Robust Counterparts of Uncertain Conic Problems -- Chapter Twelve. Robust Classi¯cation and Estimation -- Part III. Robust Multi-Stage Optimization -- Chapter Thirteen. Robust Markov Decision Processes -- Chapter Fourteen. Robust Adjustable Multistage Optimization -- Part IV. Selected Applications -- Chapter Fifteen. Selected Applications -- Appendix A: Notation and Prerequisites -- Appendix B: Some Auxiliary Proofs -- Appendix C: Solutions to Selected Exercises -- Bibliography -- Index |
| Record Nr. | UNINA-9910778219003321 |
Ben-Tal A
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| Princeton, NJ, : Princeton University Press, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Modeling in Biomedical Research : Contemporary Topics and Voices in the Field / Yichuan Zhao, Ding-Geng (Din) Chen editors
| Statistical Modeling in Biomedical Research : Contemporary Topics and Voices in the Field / Yichuan Zhao, Ding-Geng (Din) Chen editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xviii, 491 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
92B15 - General Biostatistics [MSC 2020] |
| Soggetto non controllato |
Classification
Complex data analysis Data Mining Feature selection Gene expression analysis High dimensional statistical methods Next generation sequence Support vector machine Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249865 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistical Modeling in Biomedical Research : Contemporary Topics and Voices in the Field / Yichuan Zhao, Ding-Geng (Din) Chen editors
| Statistical Modeling in Biomedical Research : Contemporary Topics and Voices in the Field / Yichuan Zhao, Ding-Geng (Din) Chen editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xviii, 491 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
92B15 - General Biostatistics [MSC 2020] |
| Soggetto non controllato |
Classification
Complex data analysis Data Mining Feature selection Gene expression analysis High dimensional statistical methods Next generation sequence Support vector machine Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249865 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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