Machine-learning techniques
A Study on Machine Learning Techniques
... Abstract: Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly ...programmed. Machine learning focuses on the ...
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Machine-Learning Techniques for Customer Recommendations
... well-known machine-learning algorithms such as: k-nearest neighbors, ...genres. Machine-learning techniques are behind these high quality recommenda- tions that derive deep insights ...
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Machine Learning Techniques for Code Optimization
... use machine-learning-based approaches since the mid-1990s to solve a number of various compiler optimization ...These techniques primarily Machine Learning Techniques For Code ...
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Using Machine Learning Techniques for Stylometry
... tree learning differs from other machine learning techniques such as neural networks, in that attributes are considered individually rather than in connection with one ...
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Recent Advancements in Various Machine Learning Techniques
... of machine learning is witnessing its golden era as it turnout to be the leader in this field of artificial ...developed machine learning techniques especially for house price ...the ...
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Analysis of Machine Learning Techniques for Intrusion Detection
... through machine learning ...with machine learning techniques and ...using machine learning techniques We present preliminary results on the detection of anomalies ...
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Survey of Machine Learning Techniques for Malware Analysis
... using machine learning techniques, to automatically learn mod- els and patterns behind such complexity, and to develop technologies to keep pace with malware ...way machine learning has ...
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Machine Learning Techniques for Anomaly Detection: An Overview
... Machine learning techniques have received considerable attention among the intrusion detection researchers to address the weaknesses of knowledge base detection ...supervised techniques and ...
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Prediction Of Rainfall Using Machine Learning Techniques
... Using Machine Learning Techniques Moulana Mohammed, Roshitha Kolapalli, Niharika Golla, Siva Sai Maturi Abstract: Rainfall prediction is important as heavy rainfall can lead to many ...mathematics ...
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Applying Machine Learning Techniques for Reply Prediction
... Taiwo Ayodele , Shikun Zhou, Rinat Khusainov Abstract—For several years now, email has grown rapidly as the most-used communications tool on the internet. One advantage of the Internet is the ease with which people can ...
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A Survey on the Machine Learning Techniques for the News Classification
... using machine learning techniques, however pre-processing and feature selection steps play a crucial role in the size and quality of training input given to the classifier, which in turn affects the ...
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THE STUDY OF EVOLUTIONARY COMPUTATION AND MACHINE LEARNING TECHNIQUES
... 1,2 OPJS University, Churu(Rajasthan) – India Abstract This paper discussedthe study of evolutionary computation and machine learning techniques.The standards of common determination and evolution have been ...
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Machine learning techniques for music information retrieval
... using techniques that directly take in account the signals temporal structure, like for ...same machine learning techniques can be applied to these new features, the progress being in the ...
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Creating firewall rules with machine learning techniques
... with machine learning ...with machine learning algo- rithms has been done before, for example, by Konrad Rieck ...Using machine learning algorithms to detect intrusions has ...
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Flow Clustering Using Machine Learning Techniques
... 3 Clustering and Classification While it would be possible to form groups of flows by writing code that was aware of the characteristics we discovered in the IAT/Packet size plots, this approach imposes a high degree of ...
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Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation
... different machine learning techniques for distance phrase movements in machine ...structured learning, including maximum margin structure learning (MMS) and maximum margin ...
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Machine Learning Techniques: A Review
... Reinforcement Learning It is based on the concept that if an action is followed by a satisfactory state of affairs, or by an improved state of affairs, then the inclination to produce that action becomes stronger, ...
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A review on Machine Learning Techniques
... unsupervised techniques consist of self-organizing maps, k nearest neighbors, okay approach and singular value disintegration are also used to section textual content topics, suggest gadgets and discover ...
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Machine Learning Techniques in IoT
... Keywords: Encapsulated Intelligence, IoT, Machine Learning I. INTRODUCTION Internet of Things (IoT) is a combination of integral computing devices, digital era, or anything which used a network for data ...
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Machine Learning Techniques in Spam Filtering
... the learning algorithms there is a parameter that we may tune to increase the importance of classifying legitimate mail correctly, but we can’t be too liberal with it, because if we assign too high importance to ...
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