Machine Learning category, method, and algorithm
A traffic classification method using machine learning algorithm
... This assumption about the traffic to be benign at this point sounds quite vague, because we have not done any deep packet inspection for the live capture. As we know that payload of the incoming packets is seen at ...
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Disease Prediction with Machine Learning Algorithm
... ©IJRASET: All Rights are Reserved 625 III. METHODOLOGY The methods used for web application development is agile web application development method. The web application is developed with languages as PHP, HTML, ...
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Research on Machine Learning and Its Algorithm
... MACHINE LEARNING ALGORITHM Linear regression and logistic regression Linear regression is usually used to estimate actual values based on continuous ...descent method can be used to optimize ...
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Review on Genetic Algorithm and Machine Learning
... selection method based on a special class of Genetic Algorithm with restricted search which hybridized with a Extreme Learning ...fast learning speed, the Extreme Learning ...
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A STUDY ON MACHINE LEARNING ALGORITHM IN MEDICAL DIAGNOSIS
... : Machine learning is a method of optimizing the performance criterion using the past ...The algorithm uses computational methods to get the information directly from the ...automatic ...
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Genetic Algorithm for Search Optimization in Machine Learning
... 302 1.3.2 Failure of Gradient Based Methods: Traditional strategy work by beginning sooner or later and by moving toward the inclination, till we achieve the highest point of the slope. This method works ...
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Face Recognition Using Machine Learning Algorithm
... 2.PRINCIPAL COMPONENT ANALYSIS Principle Component Analysis (PCA) or „Eigen faces‟ is a method used to reduce dimension of a dataset and for the feature extraction. It is used to reserve the important information ...
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Machine learning algorithm for Cyber Security A Review
... (Machine Learning), NIDS(Network Based Intrusion Detection System) ...means method of data mining for intrusion detection and the outlier detection technique the usage of community outlier factor to ...
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Subjectivity analysis using machine learning algorithm
... a method evaluates automatic assignment of subjectivity labels to word ...An algorithm was devised to calculate subjectivity score and showed it can be used to automatically assess the subjectivity of a ...
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‘Neural Network’ a Supervised Machine Learning Algorithm
... This creates an internal state of the network which allows it to run dynamic temporal behavior. RNNs can use their internal memory to process arbitrary sequences of inputs. So this network is different from feed forward ...
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A mahalanobis hyperellipsoidal learning machine class incremental learning algorithm
... hyperellipsoidal learning machine class incremental learning algorithm is ...incremental learning, only one subclassifier is trained with the new class ...proposed method has ...
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A Hybrid Machine Learning Method for Intrusion Detection
... combination of a genetic algorithm which was based on feature selection along with a fuzzy support vector machine which was introduced by Lin [7]. Their proposed model include four modules for 1-User ...
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A loop unrolling method based on machine learning
... 3.2. Algorithm improvement Weighted random forest. Different features have different influences on the prediction results. Some features will produce a comparatively great influence on the result, while some ...
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A new online learning algorithm for structure-adjustable extreme learning machine
... online learning algorithm (SAO-ELM) has been developed for single hidden layer neural ...batch learning, the parameters of the hidden nodes are randomly selected and the output weights are ...
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Extreme Learning Machine Optimized by Improved Firefly Algorithm
... extreme learning machine. The theory is a simple and effective method of single hidden layer feedforward neural network, which can randomly generate the connection weight ‘w’ between input layer and ...
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DENGUE FEVER PREDICTION USING MACHINE LEARNING ALGORITHM
... Another method used, is the Advia hematology analyzer, which is very expensive, not affordable for rural and remote ...based method for screening the ...
Skin Cancer Detection Using Machine Learning Algorithm
... ensemble learning method in the future ...automatic method for lesion detection using algorithm based on deep learning for pixel-wise ...used method is not data set ...
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Appropriate Machine Learning Algorithm for Big Data Processing
... using machine learning algorithms to be an institutional based as the intranet which are the fastest route of communication is an institutional based ...with machine learning algorithm, ...
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New Machine Learning Crawling Algorithm For Web Forums
... this method introduced in this paper is targeted at web forum crawling, the implicit Entry Index Thread (EIT) path also apply to other web sites such as community Q&A sites and blogs and so ...
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Compression of colour images using machine learning algorithm
... quality. Machine learning algorithm forms a potential method to compress an image by clustering thus leading to elimination of redundant colours ....k-means algorithm is an unsupervised ...
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