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https://www.hindawi.com/journals/wcmc/2018/4349795/
Because the existing approaches for diagnosing sensor networks lead to low precision and high complexity, a new fault detection mechanism based on support vector regression and neighbor coordination is proposed in this work. According to the redundant information about meteorological elements collected by a multisensor, a fault prediction model is built using a support vector regression ...Cited by: 3
https://ieeexplore.ieee.org/document/4650875/
Abstract: This paper presents a distributed support vector regression (SV R) algorithm for sensor networks. The idea behind this algorithm is to make use of the structure similarity between sensor networks and SV Rs with 2D input data in order to implement SV R in a distributed way.
https://www.sciencedirect.com/science/article/pii/S0022169408002643
In the last two decades, with the development of software technology, many approaches affiliated to ‘black box’ techniques including NNM (nearest neighbor method), ANN (artificial neural network), and SVR (support vector regression) have been widely applied to flood prediction.Cited by: 194
https://www.researchgate.net/publication/223061932_River_stage_prediction_based_on_a_distributed_support_vector_regression
Wu et al. (2008) used a distributed support 113 vector regression for river stage prediction. Wang et al. (2009) developed and compared several AI 114 techniques include ANN, neural-based fuzzy ...
https://arxiv.org/pdf/1811.11922
This paper studies distributed inference for linear support vector machine (SVM) for the binary classi cation task. Despite a vast literature on SVM, much less is known about the inferential properties of SVM, especially in a distributed setting. In this paper, we pro-pose a multi-round distributed linear-type (MDL) estimator for conductingCited by: 3
https://en.wikipedia.org/wiki/Support_vector_regression
Support-vector machine weights have also been used to interpret SVM models in the past. Posthoc interpretation of support-vector machine models in order to identify features used by the model to make predictions is a relatively new area of research with special significance in the biological sciences. History
http://ira.lib.polyu.edu.hk/bitstream/10397/1196/1/JH5.pdf
1 1 Journal of Hydrology, Vol. 358, No. 1-2, 2008, pp 96-111 2 3 River Stage Prediction Based on a Distributed Support Vector Regression 4 C. L. Wu; K. W. Chau*; and Y. S. Li 5 Dept. of Civil and Structural Engineering, Hong Kong Polytechnic University, 6 Hung Hom, Kowloon, Hong Kong, People’s Republic of China 7 (*Email: [email protected]) 8 Abstract:
https://www.sciencedirect.com/science/article/pii/S0888327014001198
To improve the computational precision and efficiency of probabilistic design for mechanical dynamic assembly like the blade-tip radial running clearance (BTRRC) of gas turbine, a distribution collaborative probabilistic design method-based support vector machine of regression (SR)(called as DCSRM) is proposed by integrating distribution collaborative response surface method and support vector ...Cited by: 21
https://cswww.essex.ac.uk/staff/hhu/Papers/IEEE-ICIA-2011-617-622.pdf
Distributed Least Square Support Vector Regression for Environmental Field Estimation∗ Bowen Lu and Dongbing Gu Computer Science and Electronic Engineering University of Essex Wivenhoe Park, Colchester, UK, CO4 3SQ {blv, dgu}@essex.ac.uk Huosheng Hu Computer Science and Electronic Engineering University of Essex Wivenhoe Park, Colchester, UK ...
http://downloads.hindawi.com/journals/wcmc/2018/4349795.pdf
on Support Vector Regression ... Distributed Fault Detection Based on Support Vector Regression..SupportVectorRegression. SVR(SupportVectorRegres-sion) was originally introduced under linear and divisible conditionsandwasdevelopedasane ectualwaytosolve prediction problems []. Consider a set of training dataCited by: 3
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