Machine Learning Algorithm
Face Recognition Using Machine Learning Algorithm
... Viola-jones algorithm uses a 24X24 window as the base window size to evaluate all the features in an ...a machine learning algorithm which helps in judging only the most outstanding features ...
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‘Neural Network’ a Supervised Machine Learning Algorithm
... a machine learning algorithm, neural network has been widely used in various research projects to solve various critical ...this algorithm to solve various tedious and complex ...
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Analysis of Machine Learning Algorithm for Prediction of Heart Disease
... various Machine Learning Algorithm and Data Mining techniques like, Random Forest, Naive Bayes algorithm, Decision Tree, Support Vector Machine in order to get the best accuracy with ...
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Skin Cancer Detection Using Machine Learning Algorithm
... of machine learning algorithm, in with we train the system based on the history of the images stored in the database, and test the current image to determine, whether the test image comes in the ...
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Appropriate Machine Learning Algorithm for Big Data Processing
... of machine learning functions developed to operate in parallel on ...of learning algorithms and is available from all of Spark’s programming ...languages. Machine Learning is important ...
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FLIGHT PRICE PREDICTION USING MACHINE LEARNING ALGORITHM
... Prediction, Machine Learning Algorithm, Random Forest ...employments machine learning show the ways of flight tickets after a few ...
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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A traffic classification method using machine learning algorithm
... of machine learning techniques [3, 4], which are very effective and use the distinctive flow characteristics of the traffic to ...using machine learning algorithm is still wide open for ...
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Detection of cognitive impairment using a machine-learning algorithm
... Patients and methods: The original dataset from the Clinical Research Center for Dementia of South Korea study was obtained. In total, 9,885 and 300 patients were randomly allocated to the training and test datasets, ...
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Anatomy of machine learning algorithm implementations in MPI, Spark, and Flink
... EANS ALGORITHM K-Means is an efficient and practical classical machine learning algorithm for data ...The algorithm maintains K cluster points called ...parallel algorithm works ...
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Demand Based Crop Prediction Using Machine Learning Algorithm
... 3. RESULT ANALYSIS A prototype of the proposed architecture has been implemented. Sensor nodes mentioned in the Data Collection module are deployed and tested. SVM gives a highest accuracy compared to other ...
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Using a machine learning algorithm to create a computational artwork: variable
... a Machine Learning Algorithm to Create a Computational Artwork: Variable Selçuk Artut As computational systems have become an integral part of our daily lives, we often see that contemporary art also ...
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Analysing Deep Learning as A Machine Learning Algorithm
... Deep Learning (DL) is one of the most frequently used machine learning algorithms today and it has been the part of the research field for quite a long ...Deep learning is an improvised ...
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Disease Prediction with Machine Learning Algorithm
... Cloud, Machine Learning, Classifier ...The learning curve begins with observations of data, by looking for patterns in data which us used to make better decisions based on the data that we ...
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A STUDY ON MACHINE LEARNING ALGORITHM IN MEDICAL DIAGNOSIS
... Keywords: Machine Learning; Support Vector Machine; Random forest; Naïve Bayesian; Mathematical ...achine Learning is a discipline of Artificial Intelligence which is the simulation of human ...
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The Machine Learning Algorithm as Creative Musical Tool
... Introduction Machine learning algorithms lie behind some of the most widely used and powerful tech- nologies of the 21st century so ...of machine learning’s most impressive recent ...tools, ...
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Machine learning algorithm for Cyber Security A Review
... The computer networks are exposed to increasingly safety threats. With new kinds of attacks appearing usually, growing flexible and adaptive protection-oriented strategies is a severe undertaking. In this context, ...
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Subjectivity analysis using machine learning algorithm
... => indefinite quantity – (an estimated quantity) In the paper of Wiebe J, Mihalcea R it was showed how important is the interaction between subjectivity and meaning of the language. Moreover evidence was also given by ...
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A Survey on Machine Learning Algorithm in Emerging Technologies
... Abstract: Machine Learning (ML) is the union of various teaches in science and ...a Machine Learning topic master for the analysts or industry ...
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Automation of Switching in COADM using Machine Learning Algorithm
... Fig. 1. Representation of kNN [17] B. Random Forest: it is one of the most powerful and popular supervised learning algorithms used for classification. It works by creating forest with number of decision trees. It ...
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