RSS Feed - Blog
About: Recursive partitioning of longitudinal data using mixed-effects models Changes:Fetched by r-cran-robot on 2013-04-01 00:00:06.201307
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About: Software for Automatic Construction and Inference of DBNs Based on Mathematical Models Changes:Initial Announcement on mloss.org.
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About: Toolkit for parametric and nonparametric regression and classification. Changes:Initial Announcement on mloss.org.
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About: Low-Rank and Sparse tools for Background Modeling and Subtraction in Videos. Changes:Initial Announcement on mloss.org.
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About: Novel R toolbox for collaborative filtering recommender systems. Changes:Initial Announcement on mloss.org.
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About: Oblique Random Forests from Recursive Linear Model Splits Changes:Fetched by r-cran-robot on 2012-08-01 00:00:07.607823
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About: Baycomp is a library for Bayesian comparison of classifiers, as a better alternative for null-hypothesis significance testing. Changes:Initial Announcement on mloss.org.
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About: RLScore - regularized least-squares machine learning algorithms package Changes:Initial Announcement on mloss.org.
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About: Local high-order regularization for semi-supervised learning Changes:Initial Announcement on mloss.org.
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About: Python module for machine learning multivariate time series Changes:Initial Announcement on mloss.org.
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About: Ordinal classification tree functions Changes:Initial Announcement on mloss.org by r-cran-robot
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About: Bayesian Additive Regression Trees Changes:Fetched by r-cran-robot on 2018-09-01 00:00:04.021726
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About: A Python based library for running experiments with Deep Learning and Ensembles on GPUs. Changes:Initial Announcement on mloss.org.
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About: The proposed hashing algorithm leverages the bootstrap sampling idea and integrates it with PCA, resulting in a new projection method called Bagging PCA Hashing. Changes:Initial Announcement on mloss.org.
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About: This Matlab package implements a method for learning a choquistic regression model (represented by a corresponding Moebius transform of the underlying fuzzy measure), using the maximum likelihood approach proposed in [2], eqquiped by sigmoid normalization, see [1]. Changes:Initial Announcement on mloss.org.
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About: MA-sLDAc is a C++ implementation of the supervised topic models with labels provided by multiple annotators with different levels of expertise. Changes:Initial Announcement on mloss.org.
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About: R package facilitating the simulation and evaluation of context-free and contextual Multi-Armed Bandit policies. Changes:Minor update
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About: Recursively Partitioned Mixture Model Changes:Initial Announcement on mloss.org by r-cran-robot
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About: The new R package opusminer provides an R interface to the OPUS Miner algorithm (implemented in C++) for finding the key associations in transaction data efficiently, in the form of self-sufficient itemsets, using either leverage or lift. Changes:Initial Announcement on mloss.org.
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