About: Bayesian treed Gaussian process models Changes:Fetched by rcranrobot on 20120201 00:00:11.834310

About: An annotated java framework for machine learning, aimed at making it really easy to access analytically functions. Changes:Now supports OLS and GLS regression and NaiveBayes classification

About: Boosting Methods for GAMLSS Models Changes:Fetched by rcranrobot on 20130401 00:00:04.956804

About: A python implementation of Breiman's Random Forests. Changes:Initial Announcement on mloss.org.

About: Survival forests: Random Forests variant for survival analysis. Original implementation by Leo Breiman. Changes:Initial Announcement on mloss.org.

About: Regression forests, Random Forests for regression. Original implementation by Leo Breiman. Changes:Initial Announcement on mloss.org.

About: The original Random Forests implementation by Breiman and Cutler. Changes:Initial Announcement on mloss.org.

About: A decision tree learner that is designed to be reasonably fast, but the primary goal is ease of use Changes:Initial Announcement on mloss.org.

About: Logic Forest Changes:Fetched by rcranrobot on 20130401 00:00:06.077571

About: The Maja Machine Learning Framework (MMLF) is a general framework for problems in the domain of Reinforcement Learning (RL) written in python. It provides a set of RL related algorithms and a set of benchmark domains. Furthermore it is easily extensible and allows to automate benchmarking of different agents. Changes:

About: Oblique Random Forests from Recursive Linear Model Splits Changes:Fetched by rcranrobot on 20120801 00:00:07.607823

About: Denoising images via normalized convolution Changes:Initial Announcement on mloss.org.

About: Classification and regression trees Changes:Fetched by rcranrobot on 20120201 00:00:11.999664

About: Bayesian Reasoning and Machine Learning toolbox Changes:Fixed some small bugs and updated some demos.

About: Regression Trees with Random Effects for Longitudinal (Panel) Data Changes:Fetched by rcranrobot on 20130401 00:00:08.040424

About: The Ktree is a scalable approach to clustering inspired by the B+tree and kmeans algorithms. Changes:Release of Ktree implementation in Python. This is targeted at a research and rapid prototyping audience.

About: A fast and scalable graphbased clustering algorithm based on the eigenvectors of the nonlinear 1Laplacian. Changes:

About: Rule and InstanceBased Regression Modeling Changes:Fetched by rcranrobot on 20110828 08:16:03.375532

About: Matlab implementation of variational gaussian approximate inference for Bayesian Generalized Linear Models. Changes:Code restructure and bug fix.

About: This is the source code of the mloss.org website. Changes:Now works with newer django versions and fixes several warnings and minor bugs underneath. The only user visible change is probably that the subscription and bookmark buttons work again.
