syuntai-lh,L,github

machine_learning-classification

detect patterns and build predictive models from datasets, evaluate machine learning algorithms, compare the results. K-means and other clustering tools, Neural Networks, Decision trees and ensemble learning, Naïve Bayes Classification, Linear, logistic and nonlinear regression

maerkefu

Source code for a paper using Mahalanobis distances for time series classification.

master_thesis

Optimizing Support Vector Machines with Characteristic Boundary Points

mlalgorithmsevaluation

Evaluation of SVM , MLP, Least Square Support Vector Machine(LSSVM) and AdaBoost

mnist_classification_svm

to classifly mnist dataset using support vector machines

mtlssvm

Multi-Task Least-Squares Support Vector Machines

multi-kernel-regression-gtv-

The accompanying codes of the paper "Multi-Kernel Regression with Sparsity Constraint"

multiple_linear_regression_for_load_forecasting

Electricity consumption (load) forecasting via Multiple Linear Regression (MLR)

nddtcwt

Matlab code for the implementation of the Non Decimated Dual Tree Complex Wavelet Transform

neural-computing

A Comparative Study of Multilayer Perceptron and Support Vector Machine

neural_computing

Comparative analysis of two algorithms Multi-Layer Perceptron (MLP) and Support Vector Machine (SVM) for classification of cardiotocogram (CTG) to determine fetal state.

nlh

Matlab code for our IEEE Trans. on Image Processing paper "NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising"

nm01

This Matlab package solves 0/1-loss regularized optimization problems including support vector machine and one-bit compressive sensing.

nonlinear-system-identification-with-wavelet-discrete-transform

Nonlinear System Identification with Wavelet Discrete Transform

npsvm

This is a code for nonparallel support vector machine model. You could use these code to construct classification model based on the recently proposed nonparallel support vector machine method.

online-learning-for-robust-support-vector-machine

Matlab code for the algorithm of the following papers Bin Gu, Zhou Zhai, Xiang Li, Shuyang Yu, Guansheng Zheng and Heng Huang, "Efficient Batch Online Learning for Robust Support Vector Machine"

optical-character-recognition

Approach using k-Nearest Neighbors and Support Vector Machines

paper-1701-gefcom

Reconciled boosted models for GEFCom2017 hierarchical probabilistic load forecasting

paper-proloaf

A Probabilistic Load Forecasting Project. Mirror of https://git.rwth-aachen.de/acs/public/automation/plf/proloaf

paper_code

本人论文实验的一些python与R的代码；《A deep learning based model for short-term power load and probability density forecasting》；《A clustering-based framework for exploring household electricity consumption patterns: A case study of Nanjing and Yancheng City in China》；《Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies》

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