support vector regression
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Supplier selection with support vector regression and twin support vector regression
... Recently, support vector machine has received much more attention from researchers, while studies on supplier selection based on it are ...the support vector regression (SVR) and twin ...
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Co regularised support vector regression
... for regression, where only few labelled examples, many unlabelled instances and different data rep- resentations (multiple views) are ...extend support vector regression with a ...
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Linear Support Vector Regression with Linear Constraints
... words. Support Vector Machine, Support Vector Regression, Sequential Minimal Opti- mization AMS subject ...The Support Vector Machine (SVM) [3] is a class of supervised ...
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Spatial Data Mapping with Support Vector Regression
... The present work deals with the first application of Support Vector Regression (SVR) for the spatial data mapping. SVR is a recent development of the Statistical Learning Theory (Vapnik- Chervonenkis ...
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Support vector regression for warranty claim forecasting
... weighted support vector re- gression (SVR) model and the second is a weighted SVR-based time series ...ordinary support vector regression ...
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Large-scale Linear Support Vector Regression
... Support vector regression (SVR) and support vector classification (SVC) are popular learning tech- niques, but their use with kernels is often time ...
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Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression
... for support vector regression and the pinball loss for quantile ...the support vector regression and the quantile regu- larized ...
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Forecasting Grain Supply and Demand with Support Vector Regression
... samples, support vector regression is used to forecast the tread of grain supply and ...that support vector regression can get good performance using some different ...
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Inflation and unemployment forecasting with genetic support vector regression
... February 2014 Abstract In this paper a hybrid Genetic Algorithm – Support Vector Regression (GA-SVR) model in economic forecasting and macroeconomic variable selection is introduced. The proposed ...
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An incremental dual nu-support vector regression algorithm
... Abstract. Support vector regression (SVR) has been a hot research topic for several years as it is an effective regression learning ...
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Penetration Rate Optimization With Support Vector Regression Method
... PENETRATION RATE OPTIMIZATION WITH SUPPORT VECTOR REGRESSION METHOD SUMMARY Drilling operations constitute the major part of the exploration costs. During operations, drill bits are the primary part ...
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Environmental Data Mapping with Support Vector Regression and Geostatistics
... Stephane.Canu@insa-rouen.fr Abstract The paper presents decision-oriented mapping of pollution using hybrid models based on statistical learning theory (support vector regression or SVR) and spatial ...
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The Asymptotic Study of Smooth Entropy Support Vector Regression
... entropy support vector regression (SESVR), is proposed, which is a smooth unconstrained optimization reformulation of the traditional linear programming associated with a ε-insensitive support ...
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Support Vector Regression for Newspaper/Magazine Sales Forecasting
... namely support vector regression (SVR), to overcome the over-fitting ...traditional regression model, the objective of SVR is to achieve the minimum structural risk rather than the minimum ...
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Support vector regression for loss given default modeling
... paper, support vector regression techniques are applied to predict loss given default of corporate bonds, where improvements are proposed to increase prediction accuracy by modifying the SVR ...
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Support Vector Regression In Statistical Downscaling For Rainfall Forecasting
... to support plantation crops in Kabupaten ...use Support Vector Regression (SVR) to construct the empirical relationship in Statistical Downscaling ...
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Wide Baseline Matching Using Support Vector Regression
... Kata kunci: dasar lebar pencocokan, penyaringan topologi, dukungan regresi vektor. Abstract In this paper, we newly solve wide baseline matching using support vector regression (SVR). High correct ...
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Personalized fitting recommendation based on support vector regression
... Collaborative filtering (CF) is a popular method for the personalized recommendation. Almost all of the existing CF methods rely only on the rating data while ignoring some important implicit information in non-rating ...
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Proposal to Sliding Window-based Support Vector Regression
... This paper proposes a new methodology, Sliding Window-based Support Vector Regression (SW-SVR), for micrometeorological data prediction. SVR is derived from a statistical learning theory and can be ...
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Housing Price prediction Using Support Vector Regression
... Page 52 of 56 Conclusion and Future Work This project conducts two experiments on applying feature selections with Support Vector Regression and feature extraction with SVR. For feature extraction ...
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