학술논문

Online Heterogeneous Mixture Learning for Big Data
Document Type
Conference
Source
2019 IEEE 8th Global Conference on Consumer Electronics (GCCE) Consumer Electronics (GCCE), 2019 IEEE 8th Global Conference on. :699-701 Oct, 2019
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Machine learning algorithms
Big Data
Convergence
Machine learning
Gaussian distribution
Bayes methods
Conferences
Language
Abstract
We propose the online machine learning for big data analysis with heterogeneity. We performed an experiment to compare the accuracy of each iteration between batch one and online one. It is possible to converge quickly with the same accuracy as the batch one.