Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk

<p dir="ltr">This paper introduces novel nonparametric supervised learning techniques for classifying massive datasets, addressing key limitations of existing methods in Big and Streaming Data framework. We propose an offline kernel-based classifier enhanced by Batch Principal Compon...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mohamed Chaouch (17983846) (author)
مؤلفون آخرون:	Omama M. Al-Hamed (18021667) (author)
منشور في:	2025
الموضوعات:	Biomedical and clinical sciences Reproductive medicine Health sciences Health services and systems Information and computing sciences Data management and data science Machine learning Big data applications classification algorithms dimensionality reduction kernel methods machine learning nonparametric statistics recursive estimation principal component analysis stochastic approximation algorithms supervised learning Vectors Principal component analysis Posterior probability Covariance matrices Accuracy Random forests Probability distribution
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk

مواد مشابهة