Support Vector Neural Network (SVNN) by Oswaldo Ludwig

A new training method for MLP neural networks based on the same principles of SVM. (machine learning, svm, maximummargin princip...)

SVNN.m

[acc,estimated]=sim_NN(W1,W2,b1,b2,X,t)

Regularized Common Spatial Pattern with Aggregation (R-CSP-A) for EEG Classification by Haiping Lu

The codes implement the Regularized Common Spatial Pattern with Aggregation (R-CSP-A) algorithm. (signal processing, medical, braincomputer interfa...)

FDA.m

W=RegCsp(EEGdata,gnd,genSs,genMs,beta,gamma)

demoR-CSP-Aggr.m

Fit GLM with quadratic penalty by Patrick Mineault

Fits GLM with a quadratic penalty, determines hyperparams through cross-validation or evidence (penalized regression, generalized linear mo..., regularization)

crossValidate(y,X,lambda0,fitfun,valfun,folds,opts)

cvglmfitqp(y,X,qf,folds,opts)

evalGlmLikelihood(y,X,w,b,family,familyextra,weights)

Boosted Generalized Additive Models (bgam) package by Patrick Mineault

Boosting for the Generalized Additive and Linear Models (GAM and GLM). (glm, gam, generalized linear mo...)

fitbgam(y,X,trainer,fitParams)

fitcvbgam(y,X,trainer,fitParams,folds)

bgam.CVFit

Least-square with 2-norm constraint by Bruno Luong

Minimize |A*x-b|^2 such that |x| = cte (linear algebra, regularization, quadratic)

spherelsq(A,b,xnorm)

spherelsq_demo.m

Pseudo-inverse by Bruno Luong

Factorize a matrix for pseudo-inverse calculation purpose (tikhonov, qr, minimum norm)

pseudoinverse %

Generalized orthogonalization by Bruno Luong

Orthonormal basis of a set vectors with respect to a non-euclidian scalar product (orthogonalization, vector space, hilbertian)

gorth(A, B, orderingflag)

regtools by Per Christian Hansen

Analysis and Solution of Discrete Ill-Posed Problems. (discrete, illposed, regularization)

app_hh(A,beta,v)

art(A,b,k)

baart(n)