ensemble method
Comparison of Adaboost and Bagging Ensemble Method for Prediction of Heart Disease
... ABSTRACT: The medical industry arguably generates the largest amount of data on a daily basis. Extraction of new and useful information from the bulk of data generated is very tedious. Although, it contributes to the ...
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PoP: Prediction on Predictions with Ensemble Method
... of equipments, it is crucial to predict the final number of infected patients or failures at earlier stages. To estimate the number of infected patients, the SIR model is commonly used even when the size of observed data ...
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An Ensemble Method for Character Recognition Using Machine Learning Techniques
... The proposed ensemble method takes the bitmap image as input and shows the recognized character as its output. The base classifiers used here are Multi-Layer Perceptron (MLP) and Support Vector Machines ...
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DMGroup at EmoInt 2017: Emotion Intensity Using Ensemble Method
... novel ensemble learning architecture for emotion intensity analysis, particularly a novel framework of ensemble ...The ensemble method has two stages and each stage includes several single ...
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An ensemble method approach to investigate kinase-specific phosphorylation sites
... an ensemble method to predict kinase- specific phosphorylation sites in vertebrates ...The ensemble method yields a better result than individual ...proposed ensemble method ...
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An Ensemble Method with Sentiment Features and Clustering Support
... semble method with clustering support outper- forms the current state of the art method on MR- L and MR-S ...our ensemble method. On document level, LSTM method produced a much lower ...
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Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
... an ensemble method for concept drift that dynamically creates and removes weighted experts in response to changes in ...The method, dynamic weighted majority ( DWM ), uses four mechanisms to cope ...
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An Ensemble Method for Intrusion Detection with Conformity to Data Variability
... The need for reliable automated tools for intrusion detection has been steadily growing with data traffic across networks. Various data mining and machine learning applications have been developed and applied in ...
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An Ensemble Method For Spam Classification
... Many algorithms and methods were proposed for the same task of classifying the SMS as a spam or not-spam. Algorithms such as Naïve Bayes and SVM were used to build a classifier that can classify the text [7][8]. An anti ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... The application of the Technique of Artificial Intelligence for modeling highly nonlinear systems can provide appropriate solutions to the complexity of industrial processes. Among these techniques of Artificial ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... On the other hand, equations 5 and 6 show that each cell value in the first row and first column in the ILA-OT array second row and second column in LA array requires three operations: o[r] ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... This paper analyzes the method of supplemented domains for the numerical simulation of viscous incompressible flow in the complex geometrical domain. The problem is considered in a discrete defined biconnected ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... to 17, namely we detailed the simulation of 5, 9 and 17. The study showed that the CHMLI works at its best performance in high levels. In our analysis we can say that the CHMLI compensates the Unbalancing problems caused ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... abstractive method is human generated summary which attempts to develop understanding of concept and explain into a simple natural ...extractive method for automatic text summarization. This method ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... They have the following obvious advantages: • possibility of solving orthogonal packing or rectangular cutting problems of any types; • possibility of packing objects in any load directi[r] ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... Azar et. al (2013)performed a comparison between hard and fuzzy clustering algorithms for thyroid diseases data set in order to find the optimal number of clusters. Different scalar validity measures are used in ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... The purpose of this research is to investigate the effect of cloud security and data privacy, cost effectiveness, Internet reliability, top management support, and competitive pressure factors on the intention to adopt ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... For this purpose we propose an algorithm that first identify items on Facebook’s public pages, gather social interactions related to them, generate a rank list and finally recommend it t[r] ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... Due to the phenomenon occur, [15] proposed to discover and evaluate the potential of using social networking services such as Facebook services in education; through applications, resour[r] ...
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An Ensemble Method for Selection of High Quality Parses
... Generative statistical parsers compute a probabil- ity p(a, s) for each sentence annotation, so the im- mediate technique that comes to mind for assess- ing parse quality is to simply use p(a, s). Another seemingly ...
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