Applications of Machine Learning Algorithms

© 2020 by IJCTT Journal
Volume-68 Issue-1
Year of Publication : 2020
Authors : P.Sushma, ,Dr.Yogesh Kumar Sharma , Dr.S. Naga Prasad
DOI :  10.14445/22312803/IJCTT-V68I1P105

How to Cite?

P.Sushma, ,Dr.Yogesh Kumar Sharma , Dr.S. Naga Prasad, "Applications of Machine Learning Algorithms," International Journal of Computer Trends and Technology, vol. 68, no. 1, pp. 21-25, 2020. Crossref,

The goal of various machine learning algorithms is to device learning algorithms that learns automatically without any human intervention or assistance. The emphasis of machine learning is on automatic methods. Supervised Learning, unsupervised learning and reinforcement learning are discussed in this paper. Machine learning is the core area of Artificial Intelligence. Although a subarea of AI, machine learning also intersects broadly with other fields, especially statistics, but also mathematics, physics, theoretical computer science and more. Machine learning algorithms and its purpose is to learn and perform specific tasks. Humans are always interested in making intelligent computers that will help them to do predictions and perform tasks without supervision. Machine learning comes into action and produces algorithms that learn from past experiences and make decisions to do better in the future

Classification, Clustering, Super vised Learning,UnSuper vised learning, Reinforcement learning.

[1] Nahum Shimkin, ?Learning in Complex System?, Lecture Notes, Spring 2011.
[2] Thomas G. Dietterich, ?Machine-Learning Research?, AI Magazine Volume 18 Number 4 (1997).
[3] Rob Schapire, ?Machine Learning Algorithms for Classification?, Princeton University.
[4] S. B. Kotsiantis, ?Supervised Machine Learning: A Review of Classification techniques? ,informatics 31 (2007) 249- 268.
[5] Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore ?Reinforcement Learning: A Survey?, Journal of Artificial Intelligence, Research 4 (1996) 237-285, May 1996.
[6] R. Sathya, Annamma Abraham, ?Comparison of Supervised and Unsupervised Learning Algorithms for Pattern Classification?, (IJARAI) International Journal of Advanced Research in Artificial Intelligence, Vol. 2, No. 2, 2013.
[7] R. Sathya and A. Abraham, ?Unsupervised Control Paradigm for Performance Evaluation?, International Journal of Computer Application, Vol 44, No. 20, pp. 27- 31, 2012.
[8] Taiwo Oladipupo Ayodele, ?Types of Machine Learning Algorithms?, University of Portsmouth, United Kingdom.
[9] Alberto Maria Segre, ?Applications of Machine Learning?, Cornell University.
[10] J.A. Hartigan and M.A. Wong, ?A K-Means Clustering Algorithm?, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 28, No. 1 (1979), pp. 100-108.
[11] Sanjoy Das ; Sayak Bose ; Siddharth Pal ; Noel N. Schulz ; Caterina M. Scoglio ; Bala Natarajan, Dynamic reconfiguration of shipboard power systems using reinforcement learning", IEEE Transactions on Power Systems, Volume: 28 , Issue: 2 , May 2013.
[12] Chunlin Chen ; Daoyi Dong ; Han-Xiong Li ; Jian Chu yh- Jong Tarn, "Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems", IEEE Transactions on Neural Networks and Learning Systems, Volume: 25 , Issue: 5 , May 2014.
[13] Kei Senda ; Suguru Hattori ; Toru Hishinuma ; Takehisa Kohda "Acceleration of Reinforcement Learning by Policy Evaluation Using Nonstationary Iterative Method", IEEE Transactions on Cybernetics, Volume: 44 , Issue: 12 , Dec. 2014.
[14] Gianluigi Mongillo ; Hanan Shteingart ; Yonatan Loewenstein, "The Misbehavior of Reinforcement Learning", Proceedings of the IEEE , Volume: 102 , Issue: 4 , April 2014.
[15] Xin Chen ; Bo Fu ; Yong He ; Min Wu, "Timesharingtracking framework for decentralized reinforcement learning in fully cooperative multi-agent system" CAA Journal of Automatica Sinica, Volume: 1 , Issue: 2 , April 2014.
[16] Hao Wang ; Shunguo Fan ; Jinhua Song ; Yang Gao ; Xingguo Chen," Reinforcement learning transfer based on subgoal discovery and subtask similarity", CAA Journal of Automatica Sinica , Volume: 1 , Issue: 3 , July 2014.
[17] Xin Xu ; Zhongsheng Hou ; Chuanqiang Lian ; Haibo He "Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines" IEEE Transactions on Neural Networks and Learning Systems, Volume: 24 , Issue: 5 , May 2014.
[18] Bin Xu ; Chenguang Yang ; Zhongke Shi, "Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique", IEEE Transactions on Neural Networks and Learning Systems, Volume: 25 , Issue: 3 , March 2014.