Software Map

Tag cloud | Project Tree | Project List


ANOVA Bayesian Bioinformatics Bioinformatics & Biostatistics Biostatistics C++ Cancer Chemoinformatics Classification Clustering Copynumber DNA Ecology Economics Finance GUI Genetic Algorithms Genetics HTML Machine Learning Machine learning Mixture Multiple Comparisons Multivariate Analysis Multivariate Regression Multivariate Techniques Next generation Sequencing ODE Phylogeny R R-Forge Rcmdr Regression SNP Statistics Time series Visualization Whole-genome bioinformatics biostatistics break detection categorical change detection classification clustering community ecology data mining database datasets dissimilarity distance distributions diversity dynamic systems ecological models ecology econometrics economics epidemiology finance gene expression generalized linear models genetics graphics high dimentional data likelihood linear models machine learning microarray missing data missing values mixed effect models mixed model model comparison model estimation model selection movement multivariate multivariate regression multivariate statistics non-parametrics nonlinear models nonparametric optimization parametric model permutation tests phylogeny plotting political analysis prediction psychology raster regression remote sensing reporting robust robust statistics simulation soil spatial spatial autocorrelation spatial classes spatial data spatial methods spatial point patterns spatial regression spatio-temporal species distribution models survival teaching text mining time series visualization

3 projects in result set.
Boosting functional regression models - Boosting Functional Regression Models Develop an R-package named FDboost for the estimation of regression models with functional response and functional covariates via boositng. The estimation process is based on the R-package mboost.
Tags: boosting
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-06-12 09:46

Rule-Based Models - This project contains GPL versions of Quinlan's C5.0 and Cubist models.
Tags: Classification, Machine Learning, boosting, classification, machine learning, pattern recognition, rule induction, tree

Activity Percentile: 0
Activity Ranking: 0
Registered: 2011-02-25 15:11

l2boost - Efficient boosting method using the l2-loss function with gradient descent along coordinate direction basis functions for linear regression.
Tags: boosting, critical direction, gradient-correlation, regularization, repressibility, solution path, Machine Learning

Activity Percentile: 0
Activity Ranking: 0
Registered: 2012-05-01 11:39

Thanks to:
Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge