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[PDF] Top 20 Active Learning for Ranking through Support Vector Machine

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Active Learning for Ranking through Support Vector Machine

Active Learning for Ranking through Support Vector Machine

... in ranking. Hence, many of the margin-based active learning algorithms proposed for classification tasks are not readily applicable to ...forward active learning approach, such as ... See full document

6

A novel semisupervised support vector machine classifier based on active learning and context information

A novel semisupervised support vector machine classifier based on active learning and context information

... 11 The novelty of this paper lies in: a By considering the advantages of the AL and the context 12 information, a novel semisupervised method is designed; b by analyzing the distribution[r] ... See full document

19

Fraud Claim Detector for Health Insurance

Fraud Claim Detector for Health Insurance

... class.In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that ... See full document

5

An Assessment of the Performance of Classification
Algorithms in Machine Learning  J.Gayathri,  Dr.A.Muthukumaravel,   P. Shivasakthi  Abstract PDF  IJIRMET160209007

An Assessment of the Performance of Classification Algorithms in Machine Learning J.Gayathri, Dr.A.Muthukumaravel, P. Shivasakthi Abstract PDF IJIRMET160209007

... Intelligence, Machine Learning, Statistics and Database Systems. Machine Learning is the emerging technology to make the machines to predict values for new data inputs according to the ... See full document

7

Prediction Of Performance And Probable Problems Of University Student Using Classification Techniques

Prediction Of Performance And Probable Problems Of University Student Using Classification Techniques

... The machine learning ...and learning excellence of student and ...and support vector machine. The machine learning tools support to foretell the final ... See full document

5

Sentiment Analysis Based Approaches for Understanding User context in Web content

Sentiment Analysis Based Approaches for Understanding User context in Web content

... UPPORT VECTOR MACHINE Support Vector Machine (SVM) is a machine learning language which are Supervised learning models that analyses data used for classification ... See full document

5

Distributed Support Vector Machine Learning

Distributed Support Vector Machine Learning

... Support Vector Reduction (SVR) is a process that is run right after the SVM learning step is complete. Instead of going on to testing data against the training results to get accuracy, we further ... See full document

69

A HYBRID MODEL FOR CLASSIFYING PLANT STRESSES

A HYBRID MODEL FOR CLASSIFYING PLANT STRESSES

... EEP learning (DL) is considered one of the dynamic research areas comprehensively and effectively applied in different ...for learning multiple levels of representation to model complex relationships among ... See full document

5

Forgery Detection of Spliced Images Using Machine Learning Classifiers and color Illumination

Forgery Detection of Spliced Images Using Machine Learning Classifiers and color Illumination

... supervised learning methods that analyze data and recognize patterns, and which are used for classification and regression ...squares support vector machines (LS-SVM) is a version of SVM that ... See full document

6

Malware Analysis and Classification: A Survey

Malware Analysis and Classification: A Survey

... a support vector machine is trained to classify the test ...kernel learning method used in this work is demonstrated by discriminating different instances of mal- ware and benign ... See full document

9

Machine learning CICY threefolds

Machine learning CICY threefolds

... and Support Vector Machines (SVM) are used to investigate geometric properties of Complete Intersection Calabi–Yau (CICY) threefolds, a class of manifolds that facilitate string model ... See full document

9

Supervised machine learning approach for detection of malicious executables

Supervised machine learning approach for detection of malicious executables

... years, Machine learning approaches are investigated for detecting unknown viruses, and the result show high and acceptable detection ...rate. Machine learning techniques can also detect ... See full document

25

Recognition Of Animal Species On Camera Trap Images Using Machine Learning And Deep Learning Models

Recognition Of Animal Species On Camera Trap Images Using Machine Learning And Deep Learning Models

... various machine learning algorithms including Support Vector Machine (SVM), Random Forest (RF) and deep learning models such as Alexnet, Inception V3 for classification of animal ... See full document

10

A Sampling Method Based on Gauss Kernel Learning and the Expanding Research

A Sampling Method Based on Gauss Kernel Learning and the Expanding Research

... Abstract 1 — In this paper, the expansion of feature points of the linear scale space is transformed into the classification of multi-scale data set within the same scale, which belongs to the classification of scale ... See full document

8

Process Based Online Contents with Offensive Content Detection

Process Based Online Contents with Offensive Content Detection

... Support Vector Machines (SVM) in machine learning are supervised learning models with associated learning algorithms that analyze data used for classification and regression ... See full document

5

Prediction of Heart Disease Using Machine Learning

Prediction of Heart Disease Using Machine Learning

... UCI machine learning repository such as Hungarian dataset, Switzerland dataset and Cleveland ...i.e. support vector machine and Random forest for ...various learning methods ... See full document

9

Online Full Text

Online Full Text

... methods, support vector machines (SVMs) are well-known [6] by its highly accurate computational capabilities and high-dimensional data ...using learning algorithms for classification, they are widely ... See full document

6

The Study on China’s Flu Prediction Model Based on Web Search Data

The Study on China’s Flu Prediction Model Based on Web Search Data

... of support vector regression (SVR), least absolute shrinkage and selection op- erator (LASSO), convolutional neural networks (CNN) prediction models through machine learning, took into ... See full document

14

Recognition of Facial Expressions in Image Sequence using Multi-Class SVM

Recognition of Facial Expressions in Image Sequence using Multi-Class SVM

... using active contour algorithm and Multistream Hidden Markov Model (MHMM) based automatic facial expression recognition have ...Multi-class Support Vector Machine classifier classifies the six ... See full document

9

Development of Mushroom Expert System Based on SVM Classifier and Naive Bayes Classifier

Development of Mushroom Expert System Based on SVM Classifier and Naive Bayes Classifier

... Machine learning is the ability of a machine to improve its own performance through the use of a software that employs artificial intelligence ...criterion through the analysis of data. ... See full document

8

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