[PDF] Top 20 A Review on Various Algorithms used in Machine Learning
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A Review on Various Algorithms used in Machine Learning
... SVM is a category of supervised learning algorithm It is a discriminator classifier which analyses large data sets and finds pattern in it. and sorts the data in two classes. The major applications of this ... See full document
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Machine Learning Algorithms: A Review
... supervised machine learning algorithms are those algorithms which needs external ...All algorithms learn some kind of patterns from the training dataset and apply them to the test ... See full document
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A Review on Machine Learning Algorithms
... Machine learning techniques are being widely used to solve real-world problems by storing, manipulating, extracting and retrieving data from large ...sources. Machine Learning is an ... See full document
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A Review on Machine Learning Algorithms, Tasks and Applications
... on machine learning each day, for example in image recognition ...of machine learning is used in many applications and is a core concept for intelligent systems [1][3] ...further, ... See full document
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A Review of Various Algorithms Used to Optimize RWA Problem in WDM Network
... Large work has been done on routing and wavelength assignment(RWA) in recent researches. Different techniques to crack RWA problem are given under dynamic and static traffic models. Routing and wavelength assignment ... See full document
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Machine Learning Algorithms: A Review
... A constructive way to solute the dimensionality issue is to reduce the dimension of data. As the dimensions enhance in number, there is positive increment in space volume that causes sparsity in the provided dataset ... See full document
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Synchronization of Machine Learning into Electronic Health Records
... scenario, various clinicians and institutions that wish to utilize a subject’s medical records into application have to follow a certain ...Institutional Review Boards (IRB), or another possibility to go ... See full document
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Comparative Study on Machine Learning Algorithms for Sentiment Classification
... on machine learning based sentence level classification task and considered the polarization of sentences into two classes, (i) positive and (ii) ...We used two different datasets, one is movie ... See full document
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Deep Learning: A Vision for Computer
... as Machine learning (ML) and deep learning ...deep learning is the branch of ML which outperformed the conventional techniques of machine ...how machine and deep learning ... See full document
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Literature Survey on Various Classification Algorithms in Machine Learning
... Abstract: Machine learning is one of the fastest emerging technologies in the field of ...a various classification algorithm that can be used to predict Box-Office performance based on twitter ... See full document
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Sentiment Analysis and Opinion Mining using Machine Learning Techniques
... mentioned various methodology of opinion mining on opinion oriented ...researchers used SVM for sentence level sentiment analysis. J.Read, 2005 used emoticons such as “;-)” and ;-(“ for development ... See full document
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Internet-Sensor Information Mining Using Machine Learning Approach
... are various web logs, sensor logs where big data posted by various ...need machine learning techniques to provide appropriate, selective & useful information to ...literature review ... See full document
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Machine Learning Algorithms Used for Adaptive Modelling
... of algorithms for attribute selection we can help professors to realize representative oral assessment or tests for quick and effective assessing for pupils with special ...the learning behavior of their ... See full document
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Detection of Heart Diseases using Machine Learning and Data Mining
... [8], machine learning [9] and other artificial intelligence related technologies for identification of new risk ...of machine learning models. Clustering algorithms [10] and data mining ... See full document
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Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier
... Irvine Machine Learning Repository is hosted by the Center for Machine Learning and Intelligent Systems at UC ...the machine learning ...in machine learning ... See full document
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Predicting Malnutrition Disease Using Various Machine Learning Algorithms
... specialist's learning and ...is used in the healthcare ...regression algorithms is a c onfronted t ask to help doc tors f or diagnos ing th e malnutrition ... See full document
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Survey Paper on Stock Market Prediction
... exchange. Various types of trading can be done in stock ...analysis. Various useful technical indicators like SMA, EMA, MACD found to be very usefulbut with the advent of computer technologies and ... See full document
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A Survey on Various Machine Learning and Deep Learning Algorithms used for Classification of Spam and Non Spam Emails
... vector machine is a machine learning algorithm which produces two different sets of data from a given input data module, divided by a hyper plane or hyper ...vector machine can be used ... See full document
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A Comparison Of Various Machine Learning Algorithms In Designing An Intrusion Detection System
... much you want to avoid misclassifications. For large values of Regularization, the hyper plane margin is constructed in a way to have the smallest margins so that each category is defined to the maximum possible extent. ... See full document
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MULTI-INTERSECTION TRAFFIC CONGESTION CONTROL METHOD BASED ON REINFORCEMENT LEARNING.
... genetic algorithms, reinforced learning and other machine learning algorithms are often used to solve traffic congestion control ...are used in single intersection and are ... See full document
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