[PDF] Top 20 Application of Support Vector Machine in Bus Travel Time Prediction
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Application of Support Vector Machine in Bus Travel Time Prediction
... arrival time of the bus reasonably and accurately. The travel time of city bus has obvious characteristics of time interval distribution, especially in the morning and evening ... See full document
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Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes
... of support vector machine techniques in the classification of common ...potential application of classification algorithms in health ... See full document
7
The Application of Support Vector Machine in Load Forecasting
... regression, time series method and the elastic coefficient method [1], establish mathematical expression directly to describe the relationship between relevant factors and ...combining prediction [9]. ... See full document
8
The application of the support vector machine to the classification
... Result The misclassification rate of 0.0091 for decision tree and 0.138 for SVM indicate that Support Vector Machine does not perform as well as the decision tree for this set of data 0.[r] ... See full document
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Study On Prediction Models For Integrated Scheduling In Semiconductor Manufacturing Lines
... Quality prediction of lot operations is significant for integrated scheduling in semiconductor production ...novel prediction model referred to as Incremental Extreme Least Square Support ... See full document
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Tehran Stock Price Modeling and Forecasting Using Support Vector Regression (SVR) and Its Comparison with the Classic Model ARIMA
... Theory, Support Vector Machine (SVM), was first developed by Vapnik( vapnik, 1998) Another version of SVM method for regression problems in year is ...called. support vector regression ... See full document
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siRNA Efficiency Prediction Using Support Vector Machine
... Melting temperature is one of the important thermodynamic and stability factor of siRNAs. So the input parameters like Gibbs free energy change (delta G) and Melting temperature (Tm) were calculated according to the ... See full document
7
A new technique for maximum load margin estimation and prediction
... For comparative study, another newly hybrid technique that integrates the application of EP and SVM named Evolutionary Support Vector Machine (ESVM) was also developed. In ESVM, EP is used as ... See full document
7
MACHINE LEARNING TOOLS-AN OVERVIEW
... in machine learning benefits industries and ...quadcopter machine learning is applied to explore every possible solution of and new ideas for good flying around and payload ...uses machine learning ... See full document
9
Time Series Forecasting with Missing Values
... series prediction has become more popular in various kinds of applications such as weather prediction, control engineering, financial analysis, industrial monitoring, ...squares support vector ... See full document
6
Spatial Prediction of Landslides using Time Series Analysis and Support Vector Machine
... widespread application of geographic information system (GIS) and global positioning system (GPS) technology, the access to high quality data is easily ...landslide prediction has become very important to ... See full document
6
Generating Artificial Data to Evaluate Machine Learning Predictive Algorithms for Bus Travel Time
... and Support Vector Machine predictions; ii) the experimental comparison of machine learning-based regression predictors in simulated and real ...a Support Vector Machine ... See full document
16
Configuration for Predicting Travel Time Using Wavelet Packets and Support Vector Regression
... Travel-time prediction has gained significance over the years especially in urban areas due to increasing traffic conges- ...the travel-time prediction models are discussed, with ... See full document
12
Crop Production-Ensemble Machine Learning Model for Prediction
... The time series analysis of crop yield prediction is subjected to analysis by the existing techniques Support Vector Machine and Naive Bayes with the proposed techniques ...of ... See full document
6
Simulation Model of Bus Rapid Transit
... the time-averaged sense on both the buses when the analysis has reached its steady-state ...the time-averaged number of passengers was rather similar for both ...8 time-averaged numbers of the ... See full document
7
Short term Wind Power Forecasting Algorithm Based on Similar Time Period Clustering
... and support vector machine are used as the prediction model respectively, and the power value (resolution 15min) is predicted for the next 24 ...the prediction error of the two models ... See full document
10
Rainfall Prediction based on Ensemble Model
... In olden days, extraction of pattern from data sets is done manually. In the modern computer era, data set collection, manipulation and its storage is dramatically increased. This leads to huge complexity in Pattern ... See full document
7
An Approach to Efficient Software Bug Prediction using Regression Analysis and Neural Networks
... approaches: Prediction and Classification [3]. Classification and prediction that can be used to extract models describing significant defect data classes or to predict future defect ...whereas ... See full document
6
Stochastic Capacity at Freeway Bottlenecks with Application to Travel Time Prediction.
... on time indexed field data of speed-flow ...vehicle time headways preceding observed conditions where both speed is below and density is above locally defined congested flow ...autocorrelated time ... See full document
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360° View Camera Based Visual Assistive Technology for Contextual Scene Information
... This chapter gives background information about the methods and algorithms used in this study. We will present algorithms and methods for preprocessing, feature reduction, and classification. The structure of the ... See full document
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