[PDF] Top 20 An Intelligent Content Classification Algorithm for Effective E-Learning
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An Intelligent Content Classification Algorithm for Effective E-Learning
... new content recommendation system called Intelligent Content Recommendation System for E-Learning for selecting and retrievingthe exact e-content for teaching the subject ... See full document
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Adaptive Network Intrusion Detection and Mitigation Model using Clustering and bayesian Algorithm in a Dynamic Environment
... out effective defense ...Artificial intelligent that is classification, clustering, and Behavior profiling networks algorithm to categorize a network process as either normal or ...artificial ... See full document
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Effective News Video Classification Based On Audio Content: A Multiple Instance Learning Approach
... video classification, features are drawn mainly from three modalities: visual, text and ...video classification purpose, we found many of the standard classifiers, such as Bayesian, Support Vector Machines ... See full document
5
Adaptive Learning for Algorithm Selection in Classification
... machine learning techniques for different data mining tasks, and has led to a proliferation of different learning ...some learning situations, then the first learner usually performs worse than the ... See full document
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INTELLIGENT CLASSIFICATION OF MELANOMA USING SVM-MACHINE LEARNING
... a classification algorithm to over fit to training samples and generalize poorly to new ...machine learning practitioners believe that properly optimized feature extraction is the key to ... See full document
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Online Full Text
... proper classification has made these directories popular among the web ...site classification using machine learning techniques is therefore an emerging possibility to automatically maintain ... See full document
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Intelligent e-Learning Systems: An Educational Paradigm Shift
... enabling learning in a meaningful and effective manner by using a variety of computing ...An Intelligent Tutoring System aims to solve the problem of over-dependency of students on teachers for ... See full document
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Android Malware Analysis and Detection Based on Attention-CNN-LSTM
... detection algorithm based on multi-model deep learning of ...for classification. The experiment results show that the proposed algorithm can detect malware effectively , and its average ... See full document
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Modular Neural Network Approach for Data Classification
... supervised learning is proposed to ...Backpropagation learning algorithm is used to train the feedforward neural network to perform a given task of classification using intelligent ... See full document
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Intelligent Online e Learning Systems: A Comparative Study
... an intelligent way, a semantic web technology, a new future work of web technology was proposed by ...Web content, but also associated formal ...more intelligent. But to develop an effective ... See full document
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Opinion classification system using supervised learning algorithm
... domain ontology with domain independent sentiment analysis processes. The approach presented does not require any human intervention as it is fully automatic, manipulation of ontology allows feature selection to be ... See full document
5
Best Practice Guidelines for Technology Enhanced E Learning
... the content is at the right level of learning experience, according to initial learning objectives and post- evaluation which should be carried out after the course completion where the aim is to ... See full document
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A Novel Approach to Enhance Teaching and Learning Through Mining and Learning Analytics
... of learning that familiarized new notions of instruction and ...education. Learning supervision Scheme is one of the key tackles used in educational institutes to simplify ...of e-learning ... See full document
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Intelligent E-learning for Training Electrical Power Operators
... Gustavo Arroyo-Figueroa. Ph.D in Computer Science from the Monterrey Institute of Technology in 1999. Since 2000, is the Head of the Computer Systems Department at the Electric Power Research Institute of Mexico. He is ... See full document
5
An Algorithm for Effective Web Crawling Mechanism of a Search Engine
... The algorithm also creates a new HTML file showing the web graph of the web site and also highlighting the links of all the pages that have been stored from that particular site, so that if any stored page has not ... See full document
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IS THE APPLICATION OF E-LEARNING IN INDONESIA EFFECTIVE?
... and learning process is expected to reduce obstacles that are often experienced by teachers or students in the teaching and learning process at the classroom or ...a learning medium include: (1) ... See full document
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A framework for developing effective e learning
... Full support from all team members is crucial to the success of the project as it is for those supporting the team such as heads of school and administrators. The project manager needs to be proactive in getting the team ... See full document
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Intelligent E learning Systems and the Transfer of Novices into Experts
... an intelligent e-learning system (CENTMED4, a NEOCAMPUS spin-off system) has been developed as a model emulating the Centre operation with great detail of the consequences produced by the decision of ... See full document
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Intelligent medical case based e learning system
... As indicated in Section 2.2, participatory design is a philosophy that emerged after recognising the drawbacks of conventional development approaches that presumptively implementing systems for users, without the user. ... See full document
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An automated sleep-state classification algorithm for quantifying sleep timing and sleep-dependent dynamics of electroencephalographic and cerebral metabolic parameters
... Notes: Principal component plots of a 43-hour recording scored in 10-second epochs by a human (A) and using the machine learning algorithm (B). Each dot represents one 10-second epoch, and its color ... See full document
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