vector machines

RVM to support vector machines with the same function form of sparse probabilistic model to predict the unknown function, or classification.

Based on information extraction, support vector machines and K-NN were used for protein name extraction from biomedical literatures.

this class , taught by the guest speaker , is devoted to the optimization problems underlying the implementation of support vector machines.

Support Vector Machines via a decision boundary optimization, has proved is an excellent classifier in the model recognition.

We first give an introduction of Statistical Learning Theory and Support Vector Machines and its application to modeling.

Then, the square support vector machines were used to recognize combustion states.

When traditional support vector machines separate data containing noises, the obtained hyperplane is not an optimal one.

Support vector machines (SVM), a power machine learning algorithm, were applied to the self-learning of FLC.

Compared with the ARIMA, regression analysis, gray model, support vector machines and neural network prediction methods.

The paper presents a strategy of reducing the size of the training sample set for support vector machines (SVM).

Extensive comparisons have shown that support vector machines obtain good generalization performance on various data sets.

In this article, we have studied application of the fuzzy support vector machines in the beforehand alarm of grain safe keeping.

However, the training procedure of support vector machines amounts to solving a constrained quadratic programming.

The high computational cost has become a bottleneck of support vector machines applied to large scale problems.

Thus, by accident, FORTRAN had a major performance advantage on vector machines.

Support vector machines (SVM) are used as the verification algorithm for its excellent performance of classification.

Compared to the classical support vector machines based method, the proposed method performs better in text detection.

The classification ability was verified by support vector machines algorithm with various kernel functions.

SVM(Support Vector Machines) is a new science subject of maths field in recent years which has extensive and promising applied foreground.

This paper mainly studied the application of Support Vector Machines(SVM) method on reservoir prediction.

We also compare kernel function's performance, and adjust optimal parameters to Support Vector Machines.

A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.

LS_GSVMs' kernel functions have no or few limits when they are compared with standard support vector machines (SVMs).

The fourth chapter makes use of the historical data and takes support vector machines to assort the credit condition of the tourism company.

The hyperplane revises the error of the standard Support Vector Machines.

Support vector machines(SVMs) are based on statistical learning theory( SLT ). It has been hot research in machine learning area.

The high frequency signals and the low frequency are forecasted with least square support vector machines.

A nonlinear model predictive control algorithm based on parallel support vector machines for multivariable systems is presented.

A method of classifying E-mail by Support Vector Machines (SVM) and Genetic Algorithm (GA) was proposed.

Then, the classifier with multi-class support vector machines of DDAG (decision directed acyclic graph) is given.

So Support Vector Machines is introduced in the Automatic Grading of Tobacco Leaf in the paper.

A fault diagnosis technique based on support vector machines for cylinder and piston system in reciprocating compressor is put forward.

A new image filter operator based on the least squares wavelet support vector machines (LS-WSVMs) is presented.

A phase space reconstructed forecasting method of stock price was proposed based on least squares support vector machines(LS-SVM).

A method is proposed to construct sparse least squares support vector machines (LSSVMs).

A novel aeroengine lubrication monitoring method based on support vector machines is presented in this paper.

Support Vector Machines (SVM) is a novel algorithm of machine learning issued in 90's of last century.

An evolutionary Support Vector Machines (SVM) algorithm based on time sequence was brought forward in the paper.

Rolling Bearing Status Monitoring method based on Support Vector Machines (SVM) is presented.

Support vector machines (SVM) based on the statistical learning theory is a new machine learning tool.

It makes use of support vector machines' strongly nonlinear mapping ability, and network's structure is optimally auto-created.

The technology of face recognition based on support vector machines is researched in this paper.

That's because we can combine active learning with support vector machines to improve the accuracy of image retrieval.

of computing resources based on support vector machines (SVM) was designed in order to ensure the systems stable running.

Classification of Imaginary Hand Movements by Means of Continuous Wavelet Transform and Support Vector Machines

Improved Weighted Least Squares Support Vector Machines Algorithm and Its Applications in Spectroscopic Quantitative Analysis

A Study of Loess Collapsibility by Combining Least Squares Support Vector Machines with Particle Swarm Optimization Algorithm

question answering; question classification; support vector machines; subset tree kernel; machine learning; natural language processing;

Semi-Supervised Support Vector Machines and Its Application to County Sustainable Development Strength Evaluation

Quantitative Structure and Activity Relationship Studies on the Toxicity of Polychlorinated Naphthalenes Using Support Vector Machines

Overview of the support vector machines and its application research on equipment fault diagnosis

Least Squares Wavelet Support Vector Machines and Its Application to Nonlinear System Identification

Study of support vector machines for aeroengine performance trend forecasting

Integrating kernel principal component analysis with least squares support vector machines for time series forecasting problems

Research on an improved fast classification algorithm of support vector machines

Texture classification using spectral histogram representation and support vector machines

Support Vector Machines for a NIR Spectroscopy Gasoline Octane Number Analyzer

Support vector machines and its application in geotechnical engineering

Support Vector Machines and Its Application Future in Earthquake Predication

Least Squares Support Vector Machines Based Soft Sensor Modeling of Nutrient Concentration for Multiplex Fertilizer Device

Influence to Nonlinear Classification Support Vector Machines by Separable Variables Kernel Function

A New Support Vector Machines Active Learning Approach and its Application in Text Classification

The Application of Relevance Vector Machines to Microbiological Fermentation Sensor Fault Diagnosis

Hierarchical digital modulation recognition using support vector machines

Realization of the Texture Classification of Invariant Scale and Rotation by Support Vector Machines

Partially Supervised Classification of Remotely Sensed Imagery Using Support Vector Machines

Improvement of multi-variable's redundant attributes in classification algorithm of support vector machines

Weighted support vector machines for regression and its application

Support Vector Machines for Extracting Protein Name Information from Biomedical Literature

On Probability of Newton-Preconditioned Conjugate Gradient for Solving Smooth Support Vector Machines

Application of support vector machines function regression in fractal interpolation

Aeroengine Lubrication Monitoring Analysis Via Support Vector Machines

Study on Support Vector Machines Algorithms and Its Application to Power Systems

Discriminating the Genuineness of Chinese Medicines with Least Squares Support Vector Machines

Subsurface Characterization With Support Vector Machines

Support Vector Machines for Ultraviolet Spectroscopy Water Quality Analyzers

Classification of Hyperspectral Remote Sensing Images With Support Vector Machines

Multi-layer adaptive parameters optimization approach for support vector machines

Application of Support Vector Machines and Least Squares Support Vector Machines to Heart Disease diagnoses

Prediction of the chaotic time series using support vector machines for fuzzy rule-based modeling

Application of Support Vector Machines in Trend Prediction of Vibration Signal of Mechanical Equipment

Selection of Kernel Functions and Parameters for Support Vector Machines in System Identification

Applied Study on Support Vector Machines in Identifying Standard and Sub-standard Milk Powder with NIR Spectrometry

Application of support vector machines in classification and recognition of characters

Maximum Scatter Difference, Large Margin Linear Projection and Support Vector Machines

Aeroengine intelligent fault diagnosis using support vector machines

Support Vector Machines Based Nonlinear System Identification Method

Introduction Statistical Learning Theory and Support Vector Machines

Improved Prediction of Protein- Protein Binding Sites Using a Support Vector Machines Approach

modelling a penicillin fed - batch fermentation using least squares support vector machines

Prediction of protein thermostability from amino acid composition with v-support vector machines

Classifying Internet Information with Support Vector Machines

Support Vector Machines Based Approach for Ball Bearing Fault Detection and Classification

Function Approximation of Neural Network Modified by Supporting Vector Machines

Proximal Support Vector Machines for Samples with Unbalanced Distribution

Method of Parallel Sequential Minimal Optimization for Training Support Vector Machines

Analysis and applications of time series forecasting model via support vector machines

Application of Statistical Learning Theory and Support Vector Machines in Process Control

Application of Support Vector Machines for Container Throughput Forecast

Design and realization of a DNA sequence classification system based on support vector machines

The Study of Support Vector Machines Used in Identification for Engine Start Model

Method for Selecting Parameters of Least Squares Support Vector Machines and Application

Study of support vector machines for bid markup decision

Application Research on Support Vector Machines in Mechanical Fault Diagnosis

Predicted Model of the Population Time Series Using Support Vector Machines

Expressway Incident Detection Using Support Vector Machines

Detection of Abnormal Blood Samples Using Support Vector Machines with Radial Basis Function

A Hierarchical and Parallel Support Vector Machines Algorithm for Reducing the Training Time

Texture Recognition Using Support Vector Machines and Genetic Algorithm

Application of support vector machines in ground subsidence forecasting

Linux-hosted Intrusion Detection System Using Least Square Support Vector Machines

A New Approach to Isomorphism Identification of Kinematic Chains Using Support Vector Machines

automatic identification of verb phrase for chinese language on support vector machines

An Analysis on the High Efficiency Modeling for Automotive Claw-pole Alternator by Support Vector Machines

Applying Support Vector Machines to Predict Urban Total Ecological Footprint

Support Vector Machines-Based Method for Machining Error Prediction Modeling

Study of Least Squares Support Vector Machines

Voice activity detection using multiresolution spectrum and support vector machines and audio mixing algorithm

Study on the Support Vector Machines Model for Sales Volume Prediction and Parameters Selection

Self-learning controller using support vector machines and fuzzy inference system

Application of parameter-optimized support vector machines to power load modeling

Analysis of applying support vector machines algorithms to prediction of survival time for lung cancer

Support Vector Machines Based Nonlinear Inverse Control and Simulation

Application of Support Vector Machines in Short-Term Prediction of Urban Water Consumption

The model research of support vector machines in the protein secondary structure prediction

The Application of Support Vector Machines to Facial Expression Recognition

Fuzzy Support Vector Machines Based Recognition for Aeroplane Flight Action

Personal credit evaluation of college student loans with support vector machines

Applications of Support Vector Machines to Aeroengine Fault Diagnosis

Application of fuzzy support vector machines for fault diagnosis of turbo- generator unit

Comparative Study of Soft Sensor Models Based on Support Vector Machines and RBF Neural Networks

Training Algorithms and Applications of Support Vector Machines

Applications of Support Vector Machines in Classification

The application of support vector machines in detection of images steganography

The Application of Support Vector Machines to Gas Turbine Performance Diagnosis

Prediction of the chaotic time series using support vector machines

Modeling and Parameter Optimization of the Claw-Pole Alternator Based on Support Vector Machines and Genetic Algorithms

Research on Ground Penetrating Radar Target Identification Based on Support Vector Machines in Shallow Subsurface Application

Soft Sensor Modeling Based on Support Vector Machines and Its Applications to Fermentation Process

A Simplification Algorithm to Support Vector Machines for Regression

Least Squares Support Vector Machines for Aerial Images Segmentation

Gene Expression Analysis with Support Vector Machines in Arabidopsis

License plate locating using support vector machines and texture analysis

Color Image Classification Using Support Vector Machines

Application Research on Support Vector Machines in Optimal Selection of Guide Star

Semantic Extraction of Video Keyframe Using Support Vector Machines

Civil Aviation Engine Fault Detection Using Support Vector Machines

Application of support vector machines in recognition of characters

Research on Application of Support Vector Machines in Network Fault Diagnosis

Application of Support Vector Machines in Population Forecast

Predicting Stock index Using Weighted Support Vector Machines

Treatment of uncertain information in support vector machines

Support Vector Machines for Spatial Data Classification

Method of Support Vector Machines for Classifying Surrounding Rocks of Gateways

Texture classification by support vector machines

Support Vector Machines for Information Retrieval

Application of Support Vector Machines Model in Seepage Monitoring

New Method About Probability Modeling of Multi-class Support Vector Machines

Application of support vector machines in examination of worn striation mark

Prediction of chaotic time series using least square support vector machines

Application of Support Vector Machines to Classification of Blood Cells

Reconstruction of support vector machines for non-uniform sampled curve

Fuzzy control applied to burning through point based on support vector machines prediction model

Predicting residual life of water injection pipeline based on support vector machines

Applying support vector machines to voice activity detection

Parameters selection and application of support vector machines based on particle swarm optimization algorithm

Introduction to theory and application of statistical learning and support vector machines

Modeling method based on support vector machines within the Bayesian evidence framework

Compound kernel function of support vector machines

Research on support vector machines based predictive model for yarn quality

Support vector machines for emotion recognition in Chinese speech

Image segmentation combining support vector machines with C-means

Application of support vector machines in traffic volume forecast

Support Vector Machines for Multi-Class Classification

Simplify Support Vector Machines by Iterative Learning

Study of Forecasting Algorithm for Support Vector Machines Based on Rough Sets

Sample Reduction Strategy for Support Vector Machines with Large-Scale Data Set

Texture recognition with support vector machines

Research on a New Class of Functions for Smoothing Support Vector Machines

The Mechanism of Classification for Support Vector Machines

Application of support vector machines to the weather forecast

Nonlinear Combination Predicting Based on Support Vector Machines for Landslide Deformation

Face pose discrimination with support vector machines

Support Vector Machines Approach to Credit Evaluation

The Application of Support Vector Machines in Recognition of Small Sample

Fault Diagnosis Technique Based on Support Vector Machines for Cylinder and Piston System in Reciprocating Compressor

PepReap: A Peptide Identification Algorithm Using Support Vector Machines

Computing the Value at risk of Portfolios Using Modified Support Vector Machines

Application of One-Class Support Vector Machines to Fault Analysis of Turbopump Test Data

Automatic Multi-Class Digital Modulation Recognition Algorithms Based on Support Vector Machines

Support vector machines for pattern recognition

Training algorithms for support vector machines

Support vector machines PID adaptive control in aeroengine

A Fast Classification Algorithm of Support Vector Machines

The Technique of Power Electronic Circuit Fault Diagnosis Based on Higher-order Spectrum Analysis and Support Vector Machines

A New Algorithm of Generating Binary Tree on Multiclass Classification Methods for Support Vector Machines

An Improved Algorithm for Least Squares Support Vector Machines

Wavelet Support Vector Machines for Short-term Load Forecasting

Pre-selection Sample Method of Genetic Algorithm Fuzzy C-Mean in Support Vector Machines

A nonlinear combination forecasting method for dynamic measurement errors based on support vector machines

Sensor Fault Diagnosis Method in ESP System with Support Vector Machines

Color Segmentation of Nuclei of Blood Cell Using Support Vector Machines

Identifying the Parameters of the Kernel Function in Support Vector Machines Based on the Grid-Search Method

Comparison and Application Research on Soft Sensor Modeling Based on Gaussian Processes and Support Vector Machines

Modulation classification algorithm based on support vector machines and cyclic cumulants

Underwater Acoustic Channel Blind Equalization Algorithm Based on Support Vector Machines

A Relative Evaluation of Multiclass Image Classification by Support Vector Machines

Bus Arrival Time Prediction Using Support Vector Machines

Application of local influence in support vector machines

Algorithm of Film Defects Detection by Support Vector Machines

Method for selecting the parameters of support vector machines

Fault Diagnosis Approach Based on Intrinsic Mode Singular Value Decomposition and Support Vector Machines

A Power Disturbance Classification Method Based on Phase Space Reconstruction and Support Vector Machines

Study on Strategy of Personal Credit Scoring on Support Vector Machines

Fuzzy Liner Regression Support Vector Machines

Face Recognition Using Support Vector Machines

Research on Short-Term Traffic Flow Combined Forecasting Based on Wavelet Package and Least Square Support Vector Machines

Fault Diagnosis Method based on Support Vector Machines and Its Application

Pressed Protuberant Character Recognition Based on Least Squares Support Vector Machines

Modeling fermentation process based on hybrid support vector machines-kinetics mechanism

Application of Support Vector Machines in Research of Sand Milling

Optimal Model Selection for Support Vector Machines

A Research of Geometry Algorithms for Support Vector Machines

A Fault Diagnosis Approach for Rotor Systems Based on Empirical Mode Decomposition Method and Support Vector Machines

Power System State Estimation Based on Principal Component Analysis and Least Square Support Vector Machines

Earthquake Prediction by Using Support Vector Machines

Prediction model of ultimate vertical bearing capacity of single pile based on least squares support vector machines

Study on Activity of Antagonists by the Study of Support Vector Machines

Nonlinear Combination Forecasting Method Based on Wavelet Support Vector Machines

Geodesic Distance for Support Vector Machines

On Multiclass Classification Methods for Support Vector Machines

Statistically Modeling the Citric Acid Fermentation Process Based on Support Vector Machines

Hierarchical Multi-category Support Vector Machines Based on Inter-class Separability in Feature Space

Prediction Algorithm for Fast Fading Channels Based on Recurrent Least Squares Support Vector Machines

Gene Selection and Classification Using Non-linear Kernel Support Vector Machines Based on Gene Expression Data

A Face Recognition Method Using Support Vector Machines

Tumor Molecular Classification Based on Genetic Algorithms and Support Vector Machines

The Method of the Selection of Fractured Interval of Polymer-flooding Well Based on the Support Vector Machines

Modelling and Application of soft-sensor Based on Least Squares Support Vector Machines of Oxygen-content in Flue Gases of Plant

Research on Intelligent Classification of Mechanical Fault Based on Support Vector Machines

Unmixing of Hyperspectral Imagery Based on Probabilistic Outputs of Support Vector Machines

Annual electric consumption forecasting model based on least square support vector machines

Detecting intrusions by using support vector machines

Rule Extraction from Support Vector Machines

Modulation Signals Recognition Based on Wavelet Transform and Support Vector Machines

Pattern Classification Method Based on Projection Pursuit and Support Vector Machines

High voltage transmission line fault classification based on fuzzy logic and Support Vector Machines

Coordinated early warning of supply chain partnership based on multi-support vector machines systems

A Overview on Decomposition Method of Support Vector Machines

Multiple Object Parallel Region Growing for Image Segmentation Based on Support Vector Machines