[PDF] Top 20 Machine Learning Techniques: A Review
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Machine Learning Techniques: A Review
... From time to time after observing data, understanding the pattern of that data or extricating intelligence becomes problematic. Herein, applying ML becomes decisive [1]. Nowadays, ML is gaining utmost importance because ... See full document
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CPG Design in Bipedal Locomotion by Machine Learning Techniques: A Review
... we review the machine learning techniques which are popular among researchers from last 10 to 15 years for learning task in ...robotics. Machine learning techniques ... See full document
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Android Malware Detection through Machine Learning Techniques: A Review
... cyberattacks techniques exist but attacks through malicious applications have taken the lead aside other attack methods like social ...based. Machine learning techniques have risen to become a ... See full document
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A Review on Various Machine Learning Techniques for the Detection of DDoS Attacks
... level of SAHER’s architecture. The process continues in three rounds: detection phase, exchange of intrusion data, response phase. Mehdi Bharti [1] used the new hybrid detection method using genetic and artificial ... See full document
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Review on Machine Learning Techniques for Android Malware Detection and Categorization
... the machine learning techniques vide supervised learning model pertaining the best de-facto method namely Support Vector Machine and forming or utilizing tests of known Android malware ... See full document
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Survey of review spam detection using machine learning techniques
... develop techniques for detecting review ...conduct review spam detection using various machine learning ...prominent machine learning techniques that have been ... See full document
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A Review Of Machine Learning Techniques And Statistical Models In Anaemia
... about machine learning is that it combines knowledge form diverse fields such as pattern recognition involving; artificial neural networks, reinforcement learning, support vector machine, and ... See full document
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Assigning Polarity Scores to Reviews Using Machine Learning Techniques
... the review target might be expected to influence the whole sp-score more than other words, we use these words as ...the review target is only the word “book”, and we use “inbook” and “aroundbook” ... See full document
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Cancer Prediction and Prognosis Using Machine Learning Techniques
... this review, we review the various machine learning techniques for different type of cancer prediction and prognosis (Breast Cancer, Lung Cancer, ...different machine ... See full document
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Classification of Business Reviews using Sentiment Analysis
... Hu et al. perform the classification of a document at the sentence level. Instead of the whole document and feature extract on which views have been expressed, identifying comments words by proposing a technique that ... See full document
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Predicting Diabetes Disease using Effective Classification Techniques
... the Machine Learning Techniques for Diabetes ...style techniques (e.g. DNN (Deep Neural Network), SVM (Support Vector Machine), ...these techniques by the accuracy of ... See full document
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1. Comparative study of deep learning based sentimental analysis with other existence techniques
... of techniques are usually carried with the combination of supervised machine learning approaches and lexicon primarily based ...Such techniques facilitate the enhancement of sentiment ... See full document
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Review of Various Brain Tumor Detection Techniques with Machine Learning
... Profound learning maps inputs to ...of learning, a neural network finds the correct f, or the right manner of transforming x into ...profound learning can play out various ...is learning [2]. ... See full document
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Automatic face image annotation using machine learning techniques
... Face image annotation refers to automatically assign labels to objects in a face image. Assigned labels may be gender, age, name, etc. For annotating the human faces, wide variety of algorithms and computer vision. In ... See full document
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Survey on Artificial Intelligence in Healthcare
... effective learning and adaptation model, it provides solutions to several engineering ...include techniques such as Artificial Neural Network modelling, Reasoning based decision algorithms, Simulation ... See full document
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Machine Learning Techniques in IoT
... Neural network [1] [4] [6] algorithm is a method used in machine learning to calculate the error contribution of each neuron after a batch of data. The neural network is categorized in two networks: ... See full document
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Unsupervised Detecting and Locating of Gastrointestinal Anomalies
... supervised techniques have been proposed over the years which are shown to be more accurate when compared to other diagnosing and detecting ...unsupervised machine learning techniques is ... See full document
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Genre detection of documents using hybrid techniques of machine learning
... Neural network, is a mathematical model inspired by biological concept i.e. neural networks. A neural network is analgorithm where input set is a number of terms while output set contains the genre or category. A neural ... See full document
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A Survey on Graph based Approaches in Sentiment Analysis
... It aims at detection of emotions like, happiness, frustration, anger, sadness, and the like. The lexicons i.e., list of words and the emotions they convey or complex machine learning algorithms are widely ... See full document
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Title: STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES
... and learning environment by mainly focusing on performance monitoring of students' continuous assessment (tests) and examination scores in order to predict their final achievement status upon ...mining ... See full document
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