Showing entries 14901-15000 out of 28187.
Machine Learning Foundations
Iterative Proportional Fitting Algorithms for Nested Structures
Machine Learning Forest Simulator
Datasets for Use with Salvan, Sartori and Pace (2020)
Multi-Layer Group-Lasso
Multilevel Index of Dissimilarity
Single and Multiple Imputation with Automated Machine Learning
R6-Based ML Learners for 'mlexperiments'
Multilevel Mediation Analysis
Machine Learning Evaluation Metrics
Multilevel/Mixed Model Helper Functions
Maximum Likelihood Multiple Imputation
Maximum Likelihood Estimation of DNA Methylation and Hydroxymethylation Proportions
Model Selection in Multivariate Longitudinal Data Analysis
Estimating Frequencies, Prevalence and Multiplicity of Infection
Power Analysis and Data Simulation for Multilevel Models
Examples from Multilevel Modelling Software Review
Multi-Level Model Assessment Kit
Machine Learning Algorithms for Multivariate Time Series
Practical Multilevel Modeling
Multinomial Logit Models
Bayesian Model Averaging for Multinomial Logit Models
'Rcpp' Integration for the 'mlpack' Library
Maximum Likelihood Estimation of the Niche Preemption Model
Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)
A Power Analysis Toolbox to Find Cost-Efficient Study Designs
Algorithms for Class Distribution Estimation
Machine Learning in R
Batch Experiments for 'mlr3'
Analysis and Visualisation of Benchmark Experiments
Cluster Extension for 'mlr3'
Collection of Machine Learning Data Sets for 'mlr3'
Data Base Backend for 'mlr3'
Fairness Auditing and Debiasing for 'mlr3'
Extending 'mlr3' to Functional Data Analysis
Filter Based Feature Selection for 'mlr3'
Hyperband for 'mlr3'
Recommended Learners for 'mlr3'
Helper Functions for 'mlr3'
Connector Between 'mlr3' and 'OpenML'
Machine Learning in 'shiny' with 'mlr3'
Support for Spatial Objects Within the 'mlr3' Ecosystem
Spatiotemporal Resampling Methods for 'mlr3'
Model and Learner Summaries for 'mlr3'
Search Spaces for 'mlr3'
Easily Install and Load the 'mlr3' Package Family
Visualizations for 'mlr3'
Composable Preprocessing Operators and Pipelines for Machine Learning
Model-Based Optimization for 'mlr3' Through 'mlrMBO'
Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions
Stepwise Regression with Assumptions Checking
Long-Run Variance Estimation in Time Series Regression
Efficient Estimation of Bayesian SBMs & MLSBMs
Use the MLS Junk Generator Algorithm to Generate a Stream of Pseudo-Random Numbers
Support Compatibility Between 'Maelstrom' R Packages and 'Opal' Environment
R6-Based ML Survival Learners for 'mlexperiments'
Most Likely Transformations
Classification Evaluation Metrics
Machine Learning Tools
Multilevel Latent Time Series Models with 'R' and 'Stan'
Multi-Level Vector Autoregression
A Stochastic Block Model for Multilevel Networks
Simulation of Longitudinal Data
Mean Length-Based Estimators of Mortality using TMB
The Multiplicative Multinomial Distribution
Gene Expression Datasets for the 'MM2S' Package
Inference of Linear Mixed Models Through MM Algorithm
Multiple Mediation Analysis
Multiple Mediation Analysis for Big Data Sets
Data for Mathematical Modeling and Applied Calculus
MM Algorithm Based on the Assembly-Decomposition Technology
Mathematical Morphology in Any Number of Dimensions
Map Pages of Memory
Memory-Map Character Files