搜索结果: 1-10 共查到“Support Vector Machines”相关记录10条 . 查询时间(0.078 秒)
Support Vector Machines,Kernel Logistic Regression,and Boosting
Support Vector Machines Kernel Logistic Regression Boosting
2015/8/21
Support Vector Machines,Kernel Logistic Regression,and Boosting.
Complex Support Vector Machines for Regression and Quaternary Classification
Support Vector Machines Kernel methods Widely linear estimation com-plex data
2013/4/28
We present a support vector machines (SVM) rationale suitable for regression and quaternary classification problems that use complex data, exploiting the notions of widely linear estimation and pure c...
An Equivalence between the Lasso and Support Vector Machines
Equivalence the Lasso Support Vector Machines
2013/4/28
We investigate the relation of two fundamental tools in machine learning, that is the support vector machine (SVM) for classification, and the Lasso technique used in regression. We show that the resu...
Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis using Wavelet Packet Transform and Support Vector Machines
automotive engine ignition pattern diagnosis pattern classification
2011/8/5
Engine spark ignition is an important source for diagnosis of engine faults. Based on the waveform of the ignition pattern, a mechanic can guess what may be the potential malfunctioning parts of an en...
Asymptotic Normality of Support Vector Machines for Classification and Regression
Nonparametric regression support vector machines asymptotic normality
2010/10/14
In nonparametric classification and regression problems, support vector machines (SVMs) attract much attention in theoretical and in applied statistics. In an abstract sense, SVMs can be seen as regu...
Intelligent Optimization Methods for High-Dimensional Data Classification for Support Vector Machines
Support Vector Machine (SVM) Genetic Algorithm (GA) Particle Swarm Optimization (PSO) Feature Selection Optimization
2013/1/29
Support vector machine (SVM) is a popular pattern classification method with many application areas. SVM shows its outstanding performance in high-dimensional data classification. In the process of cl...
Structured variable selection in support vector machines
Classification Heredity Nonparametric estimation Support vector machine Variable selection
2009/9/16
When applying the support vector machine (SVM) to high-dimensional classification problems, we often impose a sparse structure in the SVM to eliminate the influences of the irrelevant predictors. The ...
Consistency of support vector machines for forecasting the evolution of an unknown ergodic dynamical system from observations with unknown noise
Observational noise model forecasting dynamical systems support vector machines consistency
2010/4/30
We consider the problem of forecasting the next (observable)
state of an unknown ergodic dynamical system from a noisy observation
of the present state. Our main result shows, for example, that
sup...
Support Vector Machines for Face Recognition with Two-Layer Generated Virtual Data
Vector Machines Face Recognition Two-Layer Generated Virtual Data
2010/12/14
This paper presents support vector machines (SVM)for few samples-based face recognition with two-layer artificially
generated virtual training data. The few samples cannot express all the conditions ...
Discriminant Gaborfaces and Support Vector Machines Classifier for Face Recognition,
Discriminant Gaborfaces Vector Machines Classifier Face Recognition
2010/12/15
Feature extraction, discriminant analysis, and classification rules are three crucial issues for face recognition. This paper presents method, named GaborfaceSVM, to handle
three issues together. For...