Showing entries 29101-29200 out of 57642.
K-Nearest Neighbour Classifier
Univariate Kernel Density Estimation
Kernel Smoothing for Bivariate Copula Densities
Kernel Density Estimation with a Markov Chain Monte Carlo Sample
Kernel Density Estimation with Parametric Starts and Asymmetric Kernels
Multivariate Kernel Density Estimation with Vine Copulas
Bayesian Analysis of Dynamic Generalized Linear Models
K-Distribution and Weibull Paper
Kernel Distance Metric Learning for Mixed-Type Data
Fast Multidimensional Entropy Estimation by k-d Partitioning
Kinship Decouple and Phenotype Selection (KDPS)
K's "Don't Repeat Yourself"-Collection
Kernel Estimator and Bandwidth Selection for Density and Its Derivatives
Arrays with Better Control over Dimension Dropping
Collect, Assemble and Model Air Pollution, Weather and Health Data
Calculate Solutions to the Kelvin Differential Equation using Bessel Functions
Kendall Rank Correlation and Mann-Kendall Trend Test
Efficient Implementation of Kendall's Correlation Coefficient Computation
Simulate and Visualize Kendall Random Walks and Related Distributions
Knock Errors Off Nice Guesses
Knowledge Synthesis in Agriculture - From Experimental Network to Meta-Analysis
Kernel-Embedding-of-Probability Test for Elliptical Distribution
The Kernel Method of Test Equating
A Bridge Between 'keras' and 'tidymodels'
Interface to 'Keras Tuner'
New Kernel-Based Test for Differential Association Analysis
Nonparametric Kernel Estimation of Distribution Function
Expectile Regression in Reproducing Kernel Hilbert Space
Gaussian Process Laboratory
Distance Weighted Discrimination (DWD) and Kernel Methods
Smoothed Bootstrap and Random Generation from Kernel Densities
Kernel Factory: An Ensemble of Kernel Machines
Kernel Density Estimation for Heaped and Rounded Data
Kernel k Nearest Neighbors
Kernel Smoothing Tools for Philology and Historical Dialectology
Kernel Estimation of Hazard Function in Survival Analysis
Kernel-Based Machine Learning Lab
Estimating Count Data Distributions with Discrete Optimal Symmetric Kernel
A Kernel Regression-Based Multidimensional Wind Turbine Power Curve
Nadaraya-Watson Kernel Regression
Kernel Machine Score Test for Semi-Competing Risks
Functions for Kernel Smoothing Supporting Wand & Jones (1995)
Nonparametric Item Response Theory
Adaptive Kernel Estimators for Point Process Intensities on Linear Networks
Kernel Functions and Tools for Machine Learning Applications
New Kernel-Based Change-Point Detection
Generalized Kernel Two-Sample Tests
Visualization of the KESER Network
Keyword Assisted Topic Models
Bayesian Designs for Early Phase Clinical Trials
A Model for Semi-Supervised Keyword Extraction from Word Embedding Models
Explicit Key Assumptions for Flat-File Data
Keyword Analysis Using Permutation Tests
Locating Key Players in Social Networks
Wait for a Key Press in a Terminal
Access the System Credential Store from R
Decrypt Passwords from Gnome Keyring, Windows Data Protection API and macOS Keychain
Keyboard Shortcuts for 'shiny'
Convert Data to Memorable Phrases
K-Fold Cross Validation for Factor Analysis
Kalman Filter and Smoother for Exponential Family State Space Models
Kernel Fisher Discriminant Analysis
Integrated Code Chunk Anchoring and Referencing for R Markdown Documents
Kalman Filter for Impulse Noised Outliers
Kendall Functional Principal Component Analysis
Kernel Functional Partial Least Squares
Kidney Failure Risk Equation (KFRE) Tools
Koeppen-Geiger Climatic Zones
A Tool for Calculating Stoichiometric Equilibrium Constants (Ks) for Seawater
Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations
1000 Genomes Project Metadata
Classical k-gram Language Models
Knowledge Graphs Constructions and Visualizations
An R Client to Retrieve Data from DHIS2
Methods for Calculating 'KHQ' Scores and 'KHQ5D' Utility Index Scores
Colour Schemes for Scientific Data Visualization
A Simple Data Management and Sharing Tool
