资源 - OPTIMAL 研究组

资源

代码 (44个) ▼

2DLDAL1S

: Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization

BLp2DLDA

: Robust bilateral Lp-norm two-dimensional linear discriminant analysis

D2RLPP

: 2DRLPP: Robust Two-Dimensional Locality Preserving Projection with Regularization

ESQSVR

: Extensive semi-quantitative regression

ETSVR

: ETSVR is a varepsilon-twin support vector machine for regression. This package provides an implementation of the ETSVR method by Matlab code

FSNSVQR

: Feature selection for nonlinear support vector quantile regression

FSTWSVM

: FSTWSVM is a feature selection method for twin support vector machines, including linear and nonlinear feature selection. This package provides an implementation of the FSTWSVM method by Matlab code

G2DLDA

: Generalized two-dimensional linear discriminant analysis with regularization

L12DLDA

: L12DLDA is a L1-norm 2-dimension linear discriminant analysis for demension redundency. This package provides an implementation of the L12DLDA method by Matlab code

L1BLDA

: Robust Bhattacharyya bound linear discriminant analysis through an adaptive non-greedy algorithm

L1NPSVM

: L1NPSVM is a L1-norm nonparallel proximalsupport vector machine for binary classification. This package provides an implementation of the L1NPSVM method by Matlab code

LSPTSVM

: LSPTSVM is a least squares recursive projection twin support vector machine for binary classification. This package provides an implementation of the LSPTSVM (only linear case) method by Matlab code

LSTBSVC

: Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding

LTSVM

: An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

LUHC

: LUHC is a Laplacian Unit-Hyperplane Learning for positive and unlabeled learning problem. This package provides a Demo Matlab code for LUHC

LkPPC

: LkPPC is a local k-Proximal Plane Clustering method for clustering. This package provides an implementation of the LkPPC method by Matlab code

LpNPSVM

: Robust nonparallel proximal support vector machine with Lp-norm regularization

LqLSSVM

: Feature selection via sparse $L_q$-norm least squares support vector machines for small size samples

MBLDA

: MBLDA: a novel multiple between-class linear discriminant analysis

MDR

: Minimum deviation distribution machine for large scale regression

MLSPTSVM

: Multiple recursive projection twin support vector machine for multi-class classification

MLTSVM

: Multi-label twin support vector machine for pattern classification

MPSVM

: MPSVM is a manifold proximal support vector machine for semi-supervised learnining problem. This package provides a Demo Matlab code for MPSVM

MVSVM-L1

: Robust L1-norm multi-weight vector projection support vector machine for pattern recognition

NHSVM

: NHSVM is a nonparallel hyperplane support vector machine for binary classification. This package provides an implementation of the NHSVM method by Matlab code

PCC

: PCC is a proximal classifier with consistency for binary classification. This package provides an implementation of the PCC method by Matlab code

PDLSSVM

: Joint sample and feature selection via sparse primal and dual LSSVM

PINSVR

: A novel parametric-insensitive nonparallel support vector machine for regression

PPWMs

: PPWMs is a tool for predicting palmitoylation sites based on protein sequence. This package provides an implementation of the PPWMs by C++ code

RDA

: Reversible discriminant analysis

RFDPC

: A general model for plane-based clustering with loss function

RPTSVM

: RPTSVM is a regularization recursive projection twin support vector machine for binary classification. This package provides an implementation of the RPTSVM (PTSVM is a special case of RPTSVM) method by Matlab code

RSLDA

: Robust and sparse linear discriminant analysis via alternating direction method of multipliers

RTBSVM

: Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification

RampTWSVC

: Ramp-based Twin Support Vector Clustering

RankSVM-PTM

: Prediction of acetylation and succinylation in proteins based on multi-label learning RankSVM

SGTSVM

: Stochastic gradient twin support vector machine for large scale data

STPMSVM

: STPMSVM is a smooth twin parametric-margin support vector machine for binary classification. This package provides an implementation of the STPMSVM method by Matlab code

TLRM

: Large Scale Non-convex Regression with Truncated Loss via Majorization-Minimization Algorithm

TWSVC

: TWSVC is a twin support vector machine for clustering. This package provides an implementation of the TWSVC method by Matlab code

TWSVM

: TWSVM is a twin support vector machine for binary classification. This package provides an implementation of the TBSVM (TWSVM is a special case of TBSVM) method by Matlab code

WLETSVR

: Weighted epsilon-twin support vector machine for regression

WLTSVM

: WLTSVM is a weighted Lagrangian twin support vector machine for imbalanced data classification. This package provides an implementation of the WLTSVM method by Matlab code

kPPC

: k-Proximal Plane Clustering

数据集 (2个) ▼

Crossplane

: A Matlab code for two dimensional crossplane (Xor) data generator used in TBSVM and NHSVM

Real Estate Price Data

: A realife dataset with semi-quantitative information

工具 (5个) ▼

FSNSVQR

: Feature selection for nonlinear support vector quantile regression

PCC

: PCC is a proximal classifier with consistency for binary classification. This package provides an implementation of the PCC method by Matlab code

PPWMs

: PPWMs is a tool for predicting palmitoylation sites based on protein sequence. This package provides an implementation of the PPWMs by C++ code

PTWSVM

: Projection twin support vector machine for binary classification

Matlab TBSVM

: Twin bounded support vector machine implementation in Matlab