Manuscript Number : IJSRST210250
Acquaintances in Machine Learning - Considering the Integration of Tech-Facts
Authors(3) :-Pramod Talole, Dipak Mathe, Yogeshwari Rajure
Contempt the good successes of machine learning, it can have its limits when handling insufficient training data. A potential solution is to include additional knowledge into the training process which results in the thought of assured machine learning. The topic covers search survey and structured overview of varied solutions in this field. This aims to determine taxonomy which may function a classification framework that considers the type of extra knowledge, its representation, and its combination into the machine learning pipeline. The evaluation of various papers on the bases of the taxonomy uncovers key ways of this field.
Pramod Talole Machine Learning, Evaluation, Classification, Taxonomy, Structured, Potential.
Publication Details
Published in : Volume 5 | Issue 6 | January-February 2020 Article Preview
Department of Information Technology, Anuradha Engineering College, Chikhli, Maharashtra, India
Dipak Mathe
Department of Information Technology, Anuradha Engineering College, Chikhli, Maharashtra, India
Yogeshwari Rajure
Department of Information Technology, Anuradha Engineering College, Chikhli, Maharashtra, India
Date of Publication : 2020-02-17
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 273-278
Manuscript Number : IJSRST210250
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST210250
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