Single Object Tracking With Fuzzy Least Squares Support Vector Machine

Improved least-squares algorithm for TDOA/AOA-based localization

提高经典最小二乘定量光谱分析模型预测能力的方法，周延，，本文提出了一种改进的经典最小二乘定量拉曼光谱信号分析的建模方法。该方法利用与分析物浓度相关性低的光谱信号补偿组分信息损失

This paper focuses on the parameter estimation problems of output error autoregressive systems and o

Due to the continuing progress of sensor technology, the availability of 3-D cam- eras is already fo

一个新的全局收敛正则化交替最小二乘算法解张量分解问题,陈艳男,孙文瑜,正则化方法可以处理解张量分解问题的交替最小二乘算法(ALS)的沼泽效应, 其中,正则项是子问题解与当前迭代点之差的范数。 在本文中

Adaptive Semi-supervised Learning with Discriminative Least Squares Regression

Adaptive distributed compressed estimation based on recursive least squares with sensing matrix desi

基于支持向量机的电信话务量预测，韩慧敏，，支持向量机（SupportVectorMachine,SVM）是一种解决机器学习问题的新的最优化方法，是数据挖掘领域的一门新技术。支持向量机是近年来由

ExtremeLearningMachine资源共享-Granular-support-vector-machine-based-on-mixed-measure_2013_Neurocomputin

libsvm--a library for support vector machines .its goal is to help ueers to easily use svm as a tool