X.-R. Cao, "Perturbation Analysis of Discrete Event Systems: Concepts, Algorithms, and Applications," European Journal of Operational Research, vol.91, 1996, pp.1-13.Cao X-R.Perturbation Analysis Of Discrete Ev
Algorithmsand ApplicationsG FishmanThis book provides an introduction to the Monte Carlo method suitable for a one-or two-semester course for graduate and advanced undergraduate students in the mathematical and engineering sciences. It also can serve as a reference for the professional analyst. In ...
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Data Mining for Business Analytics: Concepts,Techniques,and Applications in Python presents an applied approach to data mining concepts and methods,using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source ...
Things (IoT), Artificial Intelligence, Big Data, blockchain, deep learning, and machine learning. The emergence of intelligent systems has given rise to a wide range of techniques and algorithms using an ensemble approach to implement novel solutions for complex problems associated with sustainability...
13.5 Conclusion and Future Scope 332 References 332 14 ML Algorithms and Their Approach on COVID-19 Data Analysis 335 Kambaluru Ashok, Penumalli Anvesh Reddy and Kukatlapalli Pradeep Kumar 14.1 Introduction 336 14.2 DataSet 336 14.3 Types of Machine Learning Algorithms 338 ...
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software...
Machine learning:Improves performance through data and algorithms Deep learning:Uses neural networks to analyze complex patterns Natural language processing (NLP):Enables human-computer interaction by understanding language Types of AI: From Narrow to General ...
One reason is that the problems faced in this area include issues ranging from information architectures, to negotiation mechanisms, to the design of scheduling algorithms. In this paper, we provide a survey and a critical analysis of the literature on distributed scheduling. While we propose a ...
Recently, machine learning (ML) has become very widespread in research and has been incorporated in a variety of applications, including text mining, spam detection, video recommendation, image classification, and multimedia concept retrieval [1,2,3,4,5,6]. Among the different ML algorithms, deep...