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updated 6 months ago

eigenvalue_estimation(Cx,n,varargin) by Avishai Ben-David & Charles Davidson

Estimation of eigenvalues of a covariance matrix and recompute an improved covariance matrix (covariance matrices, detection algorithms, eigenvalues eigenfunc...)

eigenvalue_estimation(Cx,n,varargin)

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updated 7 months ago

regtools by Per Christian Hansen

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

lsqi.m

art.m

app_hh(A,beta,v)

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updated 7 months ago

ANDIFFSR(s, delta_est, phi_est, factor) by Baraka Maiseli

This function implements the regularized multiframe super-resolution model (superresolution, regularization, inverse problems)

ANDIFFSR(s, delta_est, phi_est, factor)

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updated 1 year ago

Efficient Beltrami Image Denoising and Deconvolution by Dominique Zosso

Implementation of our Primal-Dual Projected Gradients algorithm for efficient Beltrami regularizatio (beltrami, image denoising, nonblind deconvolutio...)

BackwardX(v)

BackwardY(v)

BeltramiPD( I0, beta, lambda, r1, r2, tol, Maxit )

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updated 1 year ago

Logistic Regression with regularization used to classify hand written digits by Jason Joseph Rebello

Classification of handwritten digits (classification, handwritten digits, logistic regression)

LRClassifier(X, y, numLabels, lambda)

cost(theta, X, y, lambda)

displayData(X, example_width)

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updated 1 year ago

Bayesian Partial Least Squares by Diego Vidaurre

Bayesian Partial Least Squares implementation, using variational inference (partial least squares, regression, regularization)

digamma(x,h)

gamma_kl

gauss_kl

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updated almost 2 years ago

Support Vector Neural Network (SVNN) by Oswaldo Ludwig

Oswaldo Ludwig (view profile)

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

SVNN.m

sim_NN(W1,W2,b1,b2,X,t)

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updated 3 years ago

Regularized Common Spatial Pattern with Aggregation (R-CSP-A) for EEG Classiļ¬cation by Haiping Lu

Haiping Lu (view profile)

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

FDA.m

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

demoR-CSP-Aggr.m

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updated 3 years ago

Fit GLM with quadratic penalty by Patrick Mineault

Fits GLM with a quadratic penalty, determines hyperparams through cross-validation or evidence (glm, generalized linear mo..., maximum a posteriori)

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

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

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

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updated 4 years ago

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)

CVFit

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updated 5 years ago

Least-square with 2-norm constraint by Bruno Luong

Bruno Luong (view profile)

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

spherelsq.m

spherelsq_demo.m

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updated almost 6 years ago

Pseudo-inverse by Bruno Luong

Bruno Luong (view profile)

Factorize a matrix for pseudo-inverse calculation purpose (moorepenrose, pseudoinverse, qr)

pseudoinverse %

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updated 6 years ago

Generalized orthogonalization by Bruno Luong

Bruno Luong (view profile)

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

gorth(A, B, orderingflag)

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