208 skills found · Page 4 of 7
Pat-Laub / EMpht.jl[Julia Package] Fitting Phase-Type Distributions using an EM Algorithm
qchen7 / FIR Channel Blind Equalization Based On HMM And EM AlgorithmMatlab simulation of an EM algorithm based on HMM to blind channel equalization
littleheap / MachineLearning Algorithms:shell: A summary of 9 mainstream algorithms practice, including : Logistic Regression / Decision Tree / Random Forest / Adaboost / SVM / Clustering / EM / Bayes Network / LDA / HMM.
aspxcor / Optimization Plan For Emergency Evacuation Of Personnel Based On Optimization Algorithm基于优化算法的人员应急疏散优化方案 | Optimization Plan for Emergency Evacuation of Personnel Based on Optimization Algorithm
Magnate-Emmanuel / Deep Learning Based State EstimationDeep learning based state estimation: incorporating Transformer and LSTM to Kalman Filter with EM algorithm.
dirge1 / FBM ADTcode of the paper "Reliability modeling and statistical analysis of accelerated degradation process with memory effects and unit-to-unit variability" fractional Brownian motion, random effects, wiener process, stochastic, expectation maximization, EM algorithm, parameter estimation, FBM, uncertainty quantification, assessment, non-Markovian
ahirtonlopes / Machine Learning Crash CourseAn open courseware project aimed to help beginners and intermediate setudents to master the most common ml algorithms used in real businesses using mostly Python + Scikitlearn. A must for any wannabe Data Scientist/ML Engineer // Um projeto de material didático aberto destinado a ajudar alunos de nível iniciante e intermediários a dominar os algoritmos de ML mais comuns usados em empresas reais, baseado principalmente no uso de Python + Scikitlearn. Algoritmos essenciais para o ferramental de qualquer aspirante a Data Scientist / Engenheiro de ML.
mathcbc / GMM EMThe EM Algorithm for Gaussian Mixtures （高斯混合模型的EM算法实现）
volflow / Expectation MaximizationNotebook with implementation and visualization of Gaussian Mixtures and the EM Algorithm
fboehm / Gemma2Zhou & Stephens (2014) GEMMA multivariate linear mixed model
VIS-SUSTech / Visual Analytics For Emo Algorithm ComparisonCode repository for the IEEE VIS 2023 paper "A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization"
albin3 / Pixel Clusteringpixels cluster with k-means and EM algorithm.
SeyedMuhammadHosseinMousavi / From Data To Action Empowering COVID 19 Monitoring And Forecasting With Intelligent AlgorithmsBILSTM, GMDH and Genetic COVID Forecasting Into Desired Steps of Future
gsfeir / GP LCCMEstimation of Gaussian Process - Latent Class Choice Models (GP-LCCM) using the Expectation Maximization (EM) algorithm
lingxuez / URSMA Unified RNA Sequencing Model (URSM) for joint analysis of single cell and bulk RNA-seq data.
ludwigpacifici / Algorithm Mnemonics EmacsAlgorithm Mnemonics: Increase Productivity with STL Algorithms for GNU Emacs
conradsnicta / Armadillo Gmmgmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation
cwang1291 / Machine LearningMachine Learning (ML) develops computer programs that automatically improve their performance through experience. This includes learning many types of tasks based on many types of experience, e.g. spotting high-risk medical patients, recognizing speech, classifying text documents, detecting credit card fraud, or driving autonomous vehicles. 10601 covers all or most of: concept learning, decision trees, neural networks, linear learning, active learning, estimation & the bias-variance tradeoff, hypothesis testing, Bayesian learning, the MDL principle, the Gibbs classifier, Naive Bayes, Bayes Nets & Graphical Models, the EM algorithm, Hidden Markov Models, K-Nearest-Neighbors and nonparametric learning, reinforcement learning, bagging, boosting and discriminative training.
fchamroukhi / SaMUraiSStAtistical Models for the UnsupeRvised segmentAion of tIme-Series
studyHooligen / EmbeddedSysC Algorithm这是一个开源的嵌入式设备算法库，主语言为C和C++
