搜索结果: 1-15 共查到“理学 support vector”相关记录17条 . 查询时间(0.109 秒)
WATERBODIES EXTRACTION FROM LANDSAT8-OLI IMAGERY USING AWATER INDEXS-GUIED STOCHASTIC FULLY-CONNECTED CONDITIONAL RANDOM FIELD MODEL AND THE SUPPORT VECTOR MACHINE
Water index CRF Landsa Water extraction SVM
2018/5/15
One of the most important applications of remote sensing classification is water extraction. The water index (WI) based on Landsat images is one of the most common ways to distinguish water bodies fro...
The standard 2-norm SVM is known for its good performance in twoclass classification. In this paper, we consider the 1-norm SVM. We argue that the 1-norm SVM may have some advantage over the standard ...
The Entire Regularization Path for the Support Vector Machine
Entire Regularization Path Support Vector Machine
2015/8/21
In this paper we argue that the choice of the SVM cost parameter can be critical. We then derive an algorithm that can fit the entire path of SVM solutions for every value of the cost parameter, with ...
Minimizing inter-subject variability in fNIRS based Brain Computer Interfaces via multiple-kernel support vector learning
Brain Computer Interfaces Functional Near-Infrared Spectroscopy Inter-subject variability Support Vector Machines RKHS
2012/11/23
Functional Near-Infrared spectroscopy (fNIRS) is an emerging non-invasive brain computer interface (BCI) modality that measures changes in haemoglobin concentrations in the cortical tissue. To date mo...
Solving Support Vector Machines in Reproducing Kernel Banach Spaces with Positive Definite Functions
support vector machine reproducing kernel Banach space reproducing kernel,posi-tive definite function Fourier transform,Sobolev space,Matern function,Sobolev spline
2012/11/22
In this paper we extend support vector machines from reproducing kernel Hilbert spaces into reproducing kernel Banach spaces whose reproducing kernels can be defined on nonsymmetric domains. Using the...
Classifying structures in the ISM with Support Vector Machines: the G16.05-0.57 supernova remnant
Classifying structures Support Vector Machines supernova remnant
2011/10/20
We apply Support Vector Machines -- a machine learning algorithm -- to the task of classifying structures in the Interstellar Medium. As a case study, we present a position-position velocity data cube...
Seasonal prediction of winter extreme precipitation over Canada by support vector regression
winter extreme precipitation Canada support vector regression
2011/1/7
For forecasting the maximum 5-day accumulated precipitation over the winter season at lead times of 3, 6, 9 and 12 months over Canada from 1950 to 2007, two nonlinear and two linear regression models ...
Nonsmooth Formulation of the Support Vector Machine for a Neural Decoding Problem
Nonsmooth Formulation Support Vector Machine Neural Decoding Problem
2011/1/18
This paper formulates a generalized classification algorithm with an applica-tion to classifying (or ‘decoding’) neural activity in the brain. Medical doctors and researchers have long been interested...
Nonsmooth Formulation of the Support Vector Machine for a Neural Decoding Problem
Nonsmooth Formulation the Support Vector Machine Neural Decoding Problem
2011/1/4
This paper formulates a generalized classification algorithm with an application to classifying (or `decoding') neural activity in the brain. Medical doctors and researchers have long been interested ...
Simultaneous Voltammetric Determination of Enrofloxacin and Ciprofloxacin in Urine and Plasma Using Multiwall Carbon Nanotubes Modified Glassy Carbon Electrode by Least-Squares Support Vector Machines
Simultaneous Voltammetric Determination Enrofloxacin Ciprofloxacin
2010/9/14
A simple and sensitive method is proposed for the electrochemical determination of enrofloxacin (ENRO) and its primary metabolite ciprofloxacin (CIPRO) at a multiwall carbon nanotubes/glassy carbon el...
Identification of support vector machines for runoff modelling
Identification support vector machines runoff modelling
2009/12/4
This paper describes an exploration in using SVM (Support Vector Machine) models, which were initially developed in the Machine Learning community, in flood forecasting, with the focus on the identifi...
Gas chimney detection based on improving the performance of combined multilayer perceptron and support vector classifier
Gas chimney detection combined multilayer perceptron support vector classifier
2009/11/2
Seismic object detection is a relatively new field in which 3-D bodies are visualized and spatial relationships between objects of different origins are studied in order to extract geologic informatio...
Application of a compound controller based on fuzzy control and support vector machine to ship’s boiler-turbine coordinated control system
ship boiler-turbine coordinated system support vector machine inverse control compound control
2011/9/9
Multivariables, strong coupling, nonlinearity, and large delays characterize the boiler-turbine coordinated control systems for ship power equipment. To better deal with these conditions, a compound c...
Discussion of Some Problems About Nonlinear Time Series Prediction Using ν-Support Vector Machine
ν-SVM nonlinear time series prediction
2007/8/15
2007Vol.48No.1pp.117-124DOI:
Discussion of Some Problems About Nonlinear Time Series Prediction Using ν-Support Vector Machine
GAO Cheng-Feng, CHEN Tian-Lun, and NAN Tian-Shi
...
Discussion About Nonlinear Time Series Prediction Using Least Squares Support Vector Machine
least squares support vector machine nonlinear time series prediction clustering
2007/8/15
2005Vol.43No.6pp.1056-1060DOI:
Discussion About Nonlinear Time Series Prediction Using Least Squares Support Vector Machine
XU Rui-Rui, BIAN Guo-Xing, GAO Chen-Feng, and CHEN Tian...
