prediction methods
A SURVEY ON FAILURE PREDICTION METHODS
... failure prediction methods is in the ability to evaluate the current ...these methods are also called monitoring based ...of methods that evaluate the current system state can be further ...
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Evaluation of CFD based hemolysis prediction methods
... hemolysis prediction methods on two different ...current methods of evaluating hemolysis are appropriate for complicated pump ...four methods were used collectively in my thesis in order to ...
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Survey of Fault Prediction Methods in Object Oriented Systems
... Develop an efficient system is one of the main challenges for software developers, who has been concerned with reliability related issues as they build and deployed. This paper surveys various fault prediction ...
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ASSESSEMENT OF SOIL COLLAPSE PREDICTION METHODS
... An evaluation and new interpretations have been carried out on the existing collapse prediction criteria. This includes the modification of the form and the limit conditions of some of these criteria and also the ...
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Effect of missing data on multitask prediction methods
... tree methods, similar to Random Forest, have been modiied to improve their performance in multitask scenarios [19, 20] and techniques based on Bayesian probabilistic matrix factor- ization have been applied to ...
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An Empirical Comparison of Unknown Word Prediction Methods
... such methods, the tagger is used to as- sign lexical descriptions only to the unknown to- kens in a given ...Supertagging methods often work ...such methods is usually evaluated in terms of token ...
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Prediction Methods Applied to Problems of Classification Within Institutions
... Their method also makes use of a system of weighted scores for the subclasses of the selected factors while the Burgess method gave to each an equal value, namely, one point for every su[r] ...
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Seizure Prediction Methods: A Review of the Current Predicting Techniques
... any variable with strong correlation with different stages of epilepsy cycle especially preictal and ictal stages. All predicting models try to find out reliable measures as precursors of impending seizures. The measures ...
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Effect of missing data on multitask prediction methods
... tree methods, similar to Random Forest, have been modified to improve their performance in multitask scenarios [19, 20] and techniques based on Bayesian probabilistic matrix factor- ization have been applied to ...
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Large Earthquake Prediction Methods
... At the next stage of the research, we tried to determine incoming earthquake occurring time with much higher accuracy. For this goal, we used the same fre- quency data averaged by 1440 minutes (1 day). After that we ...
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Prediction of Aviation Equipment Readiness Rate Based on Exponential Smoothing Method
... the prediction methods of aviation equipment readiness rate using single exponential smoothing and double exponential smoothing are proposed, and the different prediction methods are ...the ...
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Natural Combination To Trade In The Stock Market
... developed technology of the World Wide Web and Internet, the data is becoming extremely rich. With the application of data recognition process, the information extracted from data has become the most important part in ...
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Failure prediction of Chinese A share listed companies : comparisons using logistic regression model and neural network analysis : a thesis presented in partial fulfilment of the requirements for the degree of Master of Business Studies in Finance at Massey University, Palmerston North, New Zealand
... This study compares the relative prediction accuracy of corporate failure between two prediction methods -logistic regression model and neural network analysis- based on a sample of 3598[r] ...
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A Comparative Study of Various Location Prediction and Interpolation Techniques
... the prediction of new surface points if the points are already predicted and given as an ...interpolation methods for variety of prediction methods used by various applications in sensor ...
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Depression Prediction System using Different Methods
... other methods using which we can predict depression. This methods are Depression Prediction using EEG signal Processing, Depression Prediction using Text analysis which includes sentiment ...
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Computational Methods in Linear B cell Epitope Prediction
... properties, prediction methods like PREDITOP [15], PEOPLE [16], BEPITOPE [17] and BcePred [18] were designed to predict linear B-cell ...these methods, a common feature they have is calculating the ...
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ANN Methods for COP Prediction of Supermarket Refrigeration System
... Energy saving and emission reduction are significant missions for Chinese government. Refrigeration units for selling and storing foods is one of the main energy consumers in supermarkets. COP for a refrigeration system ...
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Benchmarking Approximate Inference Methods for Neural Structured Prediction
... structured prediction in this pa- per, but inference networks are useful in other set- tings as ...as methods for neural knowledge distilla- tion and model compression (Hinton et ...
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Retrieval Term Prediction Using Deep Learning Methods
... highest prediction precision among all the methods and that using both DBN and SdA pro- duces higher prediction precision than that achieved using either MLP or SVM, when regularization ...
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Online Full Text
... life prediction method was examined by comparing the fatigue life of the structure according to each acoustic loading ...life prediction results were shown to be approximately ...life prediction ...
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