后退
发表于 2025-3-23 10:15:03
Textbook 2018. It can be used as a textbook in graduation or undergraduation courses, for self-learners, or as reference with respect to the main theoretical concepts of Machine Learning. Fundamental concepts of Linear Algebra and Optimization applied to Machine Learning are provided, as well as source codes in
未成熟
发表于 2025-3-23 14:36:07
A Brief Introduction on Kernels,ace is sufficiently linearly separable. On the other hand, many input spaces are, in fact, not linearly separable. In order to overcome this restriction, nonlinear transformations can be used to implicitly obtain a more adequate space.
Osteoarthritis
发表于 2025-3-23 21:38:42
Textbook 2018alize the Statistical Learning Theory, allowing the practical study of different classification algorithms. Then, we proceed with concentration inequalities until arriving to the Generalization and the Large-Margin bounds, providing the main motivations for the Support Vector Machines. . From that,
murmur
发表于 2025-3-24 02:00:53
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反抗者
发表于 2025-3-24 02:40:06
Rodrigo Fernandes de Mello,Moacir Antonelli Pontierkmale.viele Tipps und Checklisten für die tägliche Routine.Neu in der 7. Auflage: .Erneuerung vieler Einstellungs- und Röntgenaufnahmen an modernsten Geräten..ausführliche Darstellung digitaler Techniken in d978-3-662-56256-7
MOCK
发表于 2025-3-24 08:56:47
Rodrigo Fernandes de Mello,Moacir Antonelli Pontierkmale.viele Tipps und Checklisten für die tägliche Routine.Neu in der 7. Auflage: .Erneuerung vieler Einstellungs- und Röntgenaufnahmen an modernsten Geräten..ausführliche Darstellung digitaler Techniken in d978-3-662-56256-7
投射
发表于 2025-3-24 13:03:15
ation algorithms. Then, we proceed with concentration inequalities until arriving to the Generalization and the Large-Margin bounds, providing the main motivations for the Support Vector Machines. . From that, 978-3-030-06949-0978-3-319-94989-5
engender
发表于 2025-3-24 17:28:51
A Brief Review on Machine Learning,osis of people under severe diseases, classify wine types, separate some material according to its quality (e.g. wood could be separated according to its weakness, so it could be later used to build either pencils or houses).
骚动
发表于 2025-3-24 19:37:46
Statistical Learning Theory,zation (ERM) principle, which is the key point for the Statistical Learning Theory (SLT). The ERM principle provides upper bounds to make the empirical risk a good estimator for the expected risk, given the bias of some learning algorithm. This bound is the main theoretical tool to provide learning
Longitude
发表于 2025-3-24 23:09:30
Introduction to Support Vector Machines,vides an intuitive and an algebraic formulation to obtain the optimization problem of the Support Vector Machines. At last, hard-margin and soft-margin SVMs are detailed, including the necessary mathematical tools to tackle them both.