PySATL/pysatl-mpest

PySATL module providing tools for working with mixtures of distributions. In particular, it allows you to evaluate their parameters.

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nickpoison/astsa

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

Language: R - Size: 92.4 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 130 - Forks: 46

luwstat/regPOspline

This R package includes function po_fit that can do regression analysis of arbitrarily censored and left-truncated data under a popular semiparametric proportional odds model. A new estimation approach via an EM algorithm is developed based on a novel data augmentation involving latent exponential and multinomial random variables.

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Nadav-Elami/adaptive-syntax-filter

Adaptive Kalman-EM algorithm for learning time-varying syntax rules in behavioral sequences

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moj-analytical-services/splink

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

Language: Python - Size: 102 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1,637 - Forks: 183

sobakrim/EM-for-generalized-Ridge

R code for EM Algorithm for Generalized Ridge Regression

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yoyolicoris/pytorch-NMF

A pytorch package for non-negative matrix factorization.

Language: Python - Size: 5.49 MB - Last synced at: 3 days ago - Pushed at: 12 months ago - Stars: 240 - Forks: 23

qntwrsm/DynamicFactorModels.jl

Provides methods for dynamic factor models, such as estimation, w/ and w/o penalization, forecasting and filtering

Language: Julia - Size: 254 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

helske/seqHMM

Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

Language: R - Size: 17.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 100 - Forks: 30

Jedrzej-Wydra/survival_analysis_em

A New Way to Calculate Thermal Summation Parameters for Forensically Useful Insects Using Mixture Models with Interval Estimation

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fboehm/gemma2

Zhou & Stephens (2014) GEMMA multivariate linear mixed model

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fgnt/pb_bss

Collection of EM algorithms for blind source separation of audio signals

Language: Python - Size: 635 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 286 - Forks: 61

JensUweUlrich/Taxor

Fast and space-efficient taxonomic classification of long reads

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dimitris-markopoulos/latent-semantic-clustering

Clustering book chapters with unsupervised ML—custom EM-GMM, sklearn baselines, and dimensionality reduction.

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SaiSampathKedari/Statistical-Inference-Theory

Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 6-9), covering essential concepts in Statistical Inference. Topics include Sufficiency, Point Estimation, Hypothesis Testing, and Interval Estimation, crucial for Statistical Machine Learning, Computational Statistics, and Probabilistic Robotics.

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Saeidhoseinipour/ZIBiclustering

We will extend the biclustering model to use Zero-Inflated Poisson (ZIP) and Zero-Inflated Negative Binomial (ZINB) distributions.

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moucheng2017/EM-BPL-Semi-Seg

[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation

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fchamroukhi/SaMUraiS

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

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mattiabr1/variational-bayes

Algorithms for inference in Gaussian Mixture Models.

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je-suis-tm/machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

Language: Jupyter Notebook - Size: 7.84 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 234 - Forks: 51

ccardehu/glvmlss

Generalized Latent Variable Models for Location, Shape, and Scale (GLVM-LSS)

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ntinouldinho/Expectation-Maximization-Machine-Learning-Algorithm

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DulanDias/CoxianPhaseTypeR

An R package for fitting Coxian Phase-Type distributions using the Expectation-Maximization (EM) algorithm. Supports parameter estimation, model selection, survival function computation, and visualization for applications in survival analysis, queueing models, and reliability engineering.

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QMUL/poLCAParallel Fork of dlinzer/poLCA

C++ Implementation of poLCA (R package)

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ChenTaHung/GMM-Visualization

An interactive toolkit for visualizing GMM convergence in 3D/2D, featuring PCA for dimensionality reduction, K-means++ initialization, and covariance regularization for stability.

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viodotcom/ppca_rs

Python+Rust implementation of the Probabilistic Principal Component Analysis model

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nickpoison/tsa4

R code for Time Series Analysis and Its Applications, Ed 4

Size: 229 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 158 - Forks: 65

omar-hajjaji/Estimating-the-parameters-of-mixture-models-using-the-EM-algorithm-on-R

Size: 10.7 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

asifhaider/Machine-Learning-4-2

Machine Learning Course Assignments from Scratch (Exploratory Data Analysis, Logistic Regression, Adaboost, Feed Forward Neural Network, EM Algorithm, Gaussian Mixture Models, Singular Value Decomposition, Image Reconstruction, Principal Component Analysis)

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Beliavsky/NormalMix1D

Fit a univariate mixture of normals to simulated data using the EM algorithm

Language: Python - Size: 7.81 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Jedrzej-Wydra/development-model

A new way to calculate thermal summation constants for forensically useful insects using fuzzy regression

Size: 735 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Samashi47/EM-algorithm

Expectation–Maximization (EM) algorithm implementation in R and Python, and a comparison with K-means.

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fchamroukhi/MEteorits

Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS

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MushtabaA/ENCM509-Labs

Fundamentals of Biometric Systems Design Assignments

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poypoyan/edhsmm 📦

An(other) implementation of Explicit Duration Hidden Semi-Markov Models in Python 3

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upupming/Lab1-generation-and-estimation-of-random-distribution

Random Computing Lab1

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sarthak-chakraborty/Estimation-of-Model-Parameters-using-GMM

Clustering using EM Algorithm on various datasets

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KamalovRuslan/EM-Algorithm

Implementation of EM-algorithm for search face in noisy images

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matchy-at-ethz/23fs-smcb

2023/24 Früh­jahrs­se­mes­ter Statistical Models in Computational Biology @ ETHz

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HoudouinPierre/FEMDA

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.

Language: Python - Size: 48.8 KB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Andrewwango/femda

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.

Language: Python - Size: 16.6 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

lauderdice/em_algorithm

Python implementation of the EM algorithm for a specific task

Language: Python - Size: 3.01 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

asif-shahriar11/Machine-Learning

Machine learning models.

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kokoff/mlap

Machiene Learning and Application module open assessment

Language: TeX - Size: 657 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

conradsnicta/armadillo-gmm

gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation

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beginaid/GMM-EM-VB

This repository is for sharing the scripts of EM algorithm and variational bayes.

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mthroolin/censoredMLE

This is a paper dealing with truncation and censored data in the insurance agency. We go over Maximum Likelihood Estimation and the EM Algorithm for censored exponential data.

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jayshah19949596/Machine-Learning-Models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Language: Matlab - Size: 4.88 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 291 - Forks: 143

Saeidhoseinipour/EM-typecoclust

The ELBM algorithms for Bernoulli, Poisson, and Gaussian distributions are referred to as `BerELBMvem-v1`, `PoissonELBMvem-v1`, and `GaussELBMvem-v1`, respectively.

Language: Python - Size: 297 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

romanwerpachowski/ML

ML++ and cppyml: efficient implementations of selected ML algorithms, with Python bindings.

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cuteboydot/EM-for-GMM

Implementation of EM using K-Means(Gaussian Mixture Model)

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ddegras/switch-ssm

Markov-Switching State-Space Models

Language: MATLAB - Size: 1.22 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 8

vincent27hugh/Cluster-Kmeans-EMGMM-PCA

Wine Types Clustering using K-Means, EM-GMM and PCA

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Subangkar/Machine-Learning-CSE-472-BUET

Decision tree, Adaboost, KNN, Naive bayes, PCA, EM algorithm assignments of Machine Learning Sessional Course CSE 472 in Level-4, Term-2 of CSE, BUET

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lingxuez/URSM

A Unified RNA Sequencing Model (URSM) for joint analysis of single cell and bulk RNA-seq data.

Language: Python - Size: 1.13 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 4

fchamroukhi/mixHMMR_m

Clustering and segmentation of heterogeneous functional data (sequential data) with regime changes by mixture of Hidden Markov Model Regressions (MixFHMMR) and the EM algorithm

Language: MATLAB - Size: 149 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 2

aciobanusebi/s2fa

Simple-Supervised Factor Analysis

Language: R - Size: 47.9 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

anindox8/Multi-Color-Space-Features-for-Dermatoscopy-Classification

Fully supervised binary classification of skin lesions from dermatoscopic images using multi-color space moments/texture features and Support Vector Machines/Random Forests.

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Chaoukia/Probabilistic-Graphical-Models

Probabilistic graphical models home works (MVA - ENS Cachan)

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moses-lab/EMnEM

EMnEM is a DNA motif finder that takes multiple alignments and a phylogenetic tree and identifies conserved patterns

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rahulraghatate/Machine-Learning

ML Algorithms from scratch

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BFavetto/OUbidim

Parameter estimation for a bidimensional partially observed Ornstein-Uhlenbeck process with biological application

Language: MATLAB - Size: 20.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

sohale/point-process-simple-example

🧠 A decoder of Spike Trains using 🔬 Bayesian, State-Space, 📐 Point-Processes, EM-algorithm, Maximum-likelihood

Language: Python - Size: 212 KB - Last synced at: 1 day ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

damaf/MCNH-AR

The NHMC-AR model is a Non-Homogeneous Markov Chain AutoRegressive model. It is designed to perform context-sensitive forecasting in time series that are associated with event sequences.

Language: Python - Size: 4.22 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

jaredhuling/OrthogEM.jl

an extremely basic Julia implementation of the Orthogonalizing EM (OEM) algorithm for penalized regression

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cmusjtuliuyuan/GraphicalLasso

Graphical Lasso and EM algorithm on confounding model

Language: Python - Size: 808 KB - Last synced at: almost 2 years ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

aagrawal207/Artificial-Intelligence-Lab

For all the examples, test programs and assignments

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vsmolyakov/ml

machine learning

Language: Matlab - Size: 3.27 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 34 - Forks: 12

damaf/PHMC-MLAR

Partially Hidden Markov Chain Multivariate Linear AutoRegressive model

Language: Python - Size: 141 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1

KoichiKuriyama/LatentAugment

LatentAugment: Dynamically Optimized Latent Augmentation for Data and Network Models

Language: Python - Size: 61.5 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

damaf/PHMC-LAR

Partially Hidden Markov Chain Linear AutoRegressive model

Language: Python - Size: 4.42 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

ioangatop/machine_learning_2

Repository of UvA's lab exercises for the course "Machine Learning 2" 2019.

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SSQ/Coursera-UW-Machine-Learning-Clustering-Retrieval

Language: Python - Size: 81.9 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 28 - Forks: 28

luke-davidson/MachineLearning

Assignments completed for my Machine Learning course: Topics include probability and statistics proofs, MLE/MAP parameter estimation, EM Algorithm, Bayes Theorem implementations, gradient descent methods, Neural Networks and Deep Learning.

Language: Python - Size: 5.87 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

mjkim1001/Research-PM

Analyzing Particulate Matter Data based on Approximate Factor Model

Language: R - Size: 574 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

StatPal/symr

C++, R and Python package for the Synthetic MR imaging program symr. For the R and python programs, see the R and python branches respectively.

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jundsp/vblds

Variational Inference of Bayesian Linear Dynamical Systems. EM algorithm to infer and learn the dynamics of time-series data.

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yafo1948/ML_Reichman_Spring2022

Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects

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jialincheoh/tech_review Fork of CS410Assignments/tech_review

Comparing different clustering algorithms

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Mandarancio/Statistical-Machine-Translation

Practice works for Statistical Machine Translation course at UNIGE.ch

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keya-desai/Natural-Language-Processing

Python implementation of N-gram Models, Log linear and Neural Linear Models, Back-propagation and Self-Attention, HMM, PCFG, CRF, EM, VAE

Language: Python - Size: 15 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 2

alexwky/LatentClassJM

A general model for the joint analysis of multivariate longitudinal data and survival time

Language: R - Size: 198 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

sajjadkarimi91/tractable-mle-lsims

MATLAB codes for paper: Tractable Maximum Likelihood Estimation for Latent Structure Influence Models with Applications to EEG & ECoG processing

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Taeyoung96/EM-method-for-Laser-beam-model

Implementation "learn intrinsic parameter" pseudocode in Probabilistic robotics (Chapter 6.3.2)

Language: Python - Size: 4.88 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

betterenvi/EMNaiveBayes

Implementation of Unsupervised Naive Bayes with EM Algorithm

Language: Python - Size: 15.1 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 14 - Forks: 3

cbaldassari/gmm_init

This repository contains the code to reproduce all the results reported in the paper Unsupervised EM Initialization for Mixture Models: A Complex Network Driven Approach for Modeling Financial Time Series.

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chenhaotian/Bayesian-Bricks

Basic building blocks in Bayesian statistics.

Language: R - Size: 5.36 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 1

jgbrasier/KFEstimate.jl

Julia package for KF and EKF parameter estimation using Automatic Differentiation

Language: Julia - Size: 851 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 1

nishitpatel01/Machine-Learning

Various machine learning projects using public datasets

Language: Python - Size: 21.9 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 2

1970633640/EM-algorithm-coin-toss-sample

an EM (Expectation-Maximization) Algorithm sample coin toss 机器学习EM算法例子 抛硬币实验的程序实现

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rVSaxena/gmm

Implementation of GMMs optimized with the EM algorithm

Language: Python - Size: 35.2 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

polyactis/eGADA

An enhanced version of GADA, a fast and sparse segmentation algorithm

Language: C++ - Size: 661 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

albeertito7/PCA-EM-Algorithms Fork of elskater98/pca-em-algorithms

BigData Project based onto the PCA and EM techniques.

Size: 8.17 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

IAmS4n/Matrix-Factorization

Finding of the missed values in the adjacency matrix of a big undirected weighted graph by utilizing probabilistic graphical models. The adjacency matrix's values were modeled with Poisson distribution and Gamma prior.

Language: Python - Size: 3.35 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

jia-yi-chen/Statistical-Learning-and-Graphical-Models

EM algorithms, linear regression, markov chain

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haziqj/phd-thesis

My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)

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rebekahchin/em_algorithm

EM algorithm for improving factors found with principle component method

Language: R - Size: 282 KB - Last synced at: 8 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

fchamroukhi/FLaMingos

Functional Latent datA Models for clusterING heterogeneOus curveS

Language: R - Size: 14.1 MB - Last synced at: 11 days ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 1

simizlab/atlas-guided-em-algorithm

Atlas guided em algorithm

Language: C++ - Size: 2.33 MB - Last synced at: 9 months ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 0

JunLiuLab/SIMPLEs

single-cell RNA sequencing imputation

Language: R - Size: 7.1 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0