Adaptations made to the machine learning method
Learning a graph made of boolean function nodes : a new approach in machine learning
... Recently, machine learning classification has been used for several tasks such as me- dical diagnosis, genomics predictions, face recognition and financial ...some machine learning models have ...
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A Hybrid Machine Learning Method for Intrusion Detection
... “extreme learning machine” to build a tool for intrusion ...proposed method, the linear discernment analysis is used to reduce the dimensions of data and the extreme learning machine ...
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A loop unrolling method based on machine learning
... Keywords: compilation optimization, loop unrolling, program performance, machine learning. 1. Introduction The compiler involves numerous optimization stages, known as “optimization pass”. The compiler will ...
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A Machine Learning Method to Distinguish Machine Translation from Human Translation
... of machine translation task, that the more like human translation text, the better the machine trans- lation output ...is machine generated or human ...
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An Efficient Machine Learning Method for Facial Expression Recognition
... Index Terms: Facial emotion Detection, Feature Extraction, Feature Optimization, Gradient Filtering. I. INTRODUCTION Facial expression recognition is the study in which computers and machines identify and express ...
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Improved Method for Filtering Emails using Machine Learning
... How it functions - Since a neural system depends on design acknowledgment, the basic introduce is that each message can be evaluated by an example. This is spoken to underneath in Fig. 8. Each plot on the chart ...
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A Machine Learning Based Method for Customer Behavior Prediction
... A Machine Learning Based Method for Customer Behavior Prediction Jing LI, Shuxiao PAN, Lei HUANG, Xin ZHU Abstract: Under the data-driven environment, market competition is increasingly ...uses ...
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A traffic classification method using machine learning algorithm
... test machine. This fact can justify the assumption made about 95% of the packets ...of Machine learning algorithms for Internet traffic Classification and how it can incorporate for research ...
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An Ensemble Method for Large Scale Machine Learning with Hadoop MapReduce
... original Adaboost algorithm as it can only boost one weak learner. Although there is a similar approach to combine different weak learners: the Adaboost Dynamic algorithm [95], the combination is done within the Adaboost ...
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An Ensemble Method for Character Recognition Using Machine Learning Techniques
... algorithm. The error back-propagation algorithm [22] is based on error-correction learning rule.For the purpose of this project the MLP network is composed of 3 layers, one input, one hidden and one output as in ...
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The Classification of Cancer Gene using Hybrid Method of Machine Learning
... a method of classifying cancer using Gene expression data that is being used to gather information from tissue samples is expected to significantly improve the development of efficient cancer diagnosis and to ...
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A Supervised Machine Learning Method to Control Energy Storage Devices.
... Real-time control modes have been introduced to control the ESS, then a machine learning method has been developed to increase the accuracy of the mode selection process. The first chapter presents a ...
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Breast Tumor Classification Using an Ensemble Machine Learning Method
... regularization method was used with the conjugate gradient (CG) method for ...optimal learning rate with alpha = 0.0001 and L2 regularization method for ...with learning rate set to ...
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Designing Machine Learning Method for Software Project Effort Prediction
... mathematical method that is simulated by the biological human brain (Nassif ...Through learning process ANN can be configured for a specific application, such as pattern reorganization or data ...
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Machine learning method to ensure robust decision-making of AVs
... Abstract— Replacing the human driver to perform the Dynamic Driving Task (DDT)[1] will require perception, complex analysis and assessment of traffic situation. The path leading to success the deployment of fully ...
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RelHunter: a machine learning method for relation extraction from text
... Eraldo R. Fernandes · Ruy L. Milidiú · Raúl P. Rentería Received: 8 February 2010 / Accepted: 16 July 2010 / Published online: 8 August 2010 © The Brazilian Computer Society 2010 Abstract We propose RelHunter, a ...
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Multidimensional Adaptations for Open Learning Management Systems
... of adaptations based on each partial ...support adaptations in a flexible and interoperable ...applying machine learning techniques; 3) using web services as integration ...
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PBL and Computer Programming The Seven Steps Method with Adaptations
... This generally improves the design of the program. As a result of all of this, the students feel that design work is more fun in a group than when done alone. At the first glance, PBL cases do not appear suitable for ...
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Using Logistic Regression of Machine Learning Method to Evaluate American Options
... Carlo method is concerned, the least square method is traditionally used to evaluate American options, but in fact, Logistic regression is generally quite good in classification ...
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A Machine Learning Classifier Based on Statistical Method for Small Number of Samples
... a machine learning classifier based on statistical methods to solve this ...this method, Bootstrap, chi-square test and other statistical methods were firstly combined to solve the performance ...
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