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About: ruptures is a Python library for off-line change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. In addition, thanks to its modular structure, different algorithms and models can be connected and extended within this package. Changes:Initial Announcement on mloss.org.
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About: A non-iterative learning method for one-layer (no hidden layer) neural networks, where the weights can be calculated in a closed-form manner, thereby avoiding low convergence rate and also hyperparameter tuning. The proposed learning method, LANN-SVD in short, presents a good computational efficiency for large-scale data analytic. Changes:Initial Announcement on mloss.org.
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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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About: The scancity of open database of small targets in remotesensing field has hindered the research in a lot. This open database includes 111 satellite images from google earth, 80 images are used as training set, contains 7862 vehicles. The other 31 images sre used as test set, contains 1635 vehicles. The positions of each vehicle are labeled by two points, which are recorded in "train.txt" and "test.txt" respectively. The label information is easily to be read by matlab tool. So such an open database is very useful for researchers in object detection fields. 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: Mapping, pruning, and graphing tree models Changes:Fetched by r-cran-robot on 2013-04-01 00:00:06.263217
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About: This is an online hashing algorithm which can handle the stream data with low computational cost. Changes:Initial Announcement on mloss.org.
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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: 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: Recursively Partitioned Mixture Model Changes:Initial Announcement on mloss.org by r-cran-robot
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About: Gradient Boosted Regression Trees with Errors-in-Variables Changes:Fetched by r-cran-robot on 2012-06-01 00:00:05.010630
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About: Ordinal classification tree functions Changes:Initial Announcement on mloss.org by r-cran-robot
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About: Package for Deep Architectures and Restricted Boltzmann Machines Changes:Fetched by r-cran-robot on 2018-01-01 00:00:07.467914
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About: The Kernel-Machine Library is a free (released under the LGPL) C++ library to promote the use of and progress of kernel machines. Changes:Updated mloss entry (minor fixes).
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About: *LHOTSE* is a C++ class library designed for the implementation of large, efficient scientific applications in Machine Learning and Statistics. Changes:Initial Announcement on mloss.org.
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