About: KernelBased Analysis of Biological Sequences Changes:

About: xgboost: eXtreme Gradient Boosting It is an efficient and scalable implementation of gradient boosting framework. The package includes efficient linear model solver and tree learning algorithm. The package can automatically do parallel computation with OpenMP, and it can be more than 10 times faster than existing gradient boosting packages such as gbm or sklearn.GBM . It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that user are also allowed to define there own objectives easily. The newest version of xgboost now supports distributed learning on various platforms such as hadoop, mpi and scales to even larger problems Changes:

About: Cox models by likelihood based boosting for a single survival endpoint or competing risks Changes:Fetched by rcranrobot on 20150501 00:00:04.536435

About: Wrapper Algorithm for AllRelevant Feature Selection Changes:Fetched by rcranrobot on 20150501 00:00:04.178596

About: C5.0 Decision Trees and RuleBased Models Changes:Fetched by rcranrobot on 20150501 00:00:04.322186

About: Somoclu is a massively parallel implementation of selforganizing maps. It relies on OpenMP for multicore execution, MPI for distributing the workload, and it can be accelerated by CUDA on a GPU cluster. A sparse kernel is also included, which is useful for training maps on vector spaces generated in text mining processes. Apart from a command line interface, Python, R, and MATLAB are supported. Changes:

About: Classification, Regression and Feature Evaluation Changes:Fetched by rcranrobot on 20150501 00:00:04.465094

About: Classification and Regression Training Changes:Fetched by rcranrobot on 20150501 00:00:04.393498

About: The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The package further provides leveraged affinity propagation, exemplarbased agglomerative clustering, and various tools for visual analysis of clustering results. Changes:

About: Mining Association Rules and Frequent Itemsets Changes:Fetched by rcranrobot on 20150501 00:00:03.815961

About: Bayesian Additive Regression Trees Changes:Fetched by rcranrobot on 20150501 00:00:03.887244

About: Misc Functions of the Department of Statistics (e1071), TU Wien Changes:Fetched by rcranrobot on 20150501 00:00:04.666842

About: Generalized Ridge Regression (with special advantage for p >> n cases) Changes:Fetched by rcranrobot on 20150501 00:00:04.045375

About: Big Random Forests Changes:Fetched by rcranrobot on 20150501 00:00:03.957710

About: Gradient Boosting Changes:Fetched by rcranrobot on 20150501 00:00:04.251004

About: The package "fastclime" provides a method of recover the precision matrix efficiently by applying parametric simplex method. The computation is based on a linear optimization solver. It also contains a generic LP solver and a parameterized LP solver using parametric simplex method. Changes:Initial Announcement on mloss.org.

About: Estimates statistical significance of association between variables and their principal components (PCs). Changes:Initial Announcement on mloss.org.

About: hapFabia is an R package for identification of very short segments of identity by descent (IBD) characterized by rare variants in large sequencing data. It detects 100 times smaller segments than previous methods. Changes:o citation update o plot function improved

About: hapFabia is an R package for identification of very short segments of identity by descent (IBD) characterized by rare variants in large sequencing data. Changes:o citation update o plot function improved

About: Evolutionary Learning of Globally Optimal Trees Changes:Fetched by rcranrobot on 20140501 00:00:05.459097
