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About: 3layer neural network for regression with sigmoid activation function and command line interface similar to LibSVM. Changes:Initial Announcement on mloss.org.

About: The Rchemcpp package implements the marginalized graph kernel and extensions, Tanimoto kernels, graph kernels, pharmacophore and 3D kernels suggested for measuring the similarity of molecules. Changes:Moved from CRAN to Bioconductor. Improved handling of molecules, visualization and examples.

About: HLearn makes simple machine learning routines available in Haskell by expressing them according to their algebraic structure Changes:Updated to version 1.0

About: Document/Text preprocessing for topic models: suite of Perl scripts for preprocessing text collections to create dictionaries and bag/list files for use by topic modelling software. Changes:Moved distribution and code across to GitHub. Changed "ldac" format to have 0 offset for word indices. Added "document frequency" (df) filtering on selection of tokens for linkTables. Playing with linkParse but its still unuseable generally.

About: Matlab code for learning probabilistic SVM in the presence of uncertain labels. Changes:Added missing dataset function (thanks to Hao Wu)

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: A barebones TensorFlow framework for Bayesian deep learning and Gaussian process approximation Changes:Release 0.7.0

About: LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2regularized logistic regression (LR), L2loss linear SVM, L1loss linear SVM, and multiclass SVM Changes:Initial Announcement on mloss.org.

About: This package implements the “Online Random Forests” (ORF) algorithm of Saffari et al., ICCVOLCV 2009. This algorithm extends the offline Random Forests (RF) to learn from online training data samples. ORF is a multiclass classifier which is able to learn the classifier without 1vsall or 1vs1 binary decompositions. Changes:Initial Announcement on mloss.org.

About: This is a tool for retrieving nearest neighbors and clustering of large categorical data sets represented in transactional form. The clustering is achieved via a localitysensitive hashing of categorical datasets for speed and scalability. Changes:Initial Announcement on mloss.org.

About: Trees WIth eXtra splits Changes:Fetched by rcranrobot on 20120201 00:00:12.077735

About: This is a C++ software designed to train largescale SVMs for binary classification. The algorithm is also implemented in parallel (**PGPDT**) for distributed memory, strictly coupled multiprocessor [...] Changes:Initial Announcement on mloss.org.

About: Stochastic neighbor embedding originally aims at the reconstruction of given distance relations in a lowdimensional Euclidean space. This can be regarded as general approach to multidimensional scaling, but the reconstruction is based on the definition of input (and output) neighborhood probability alone. The present implementation also allows for handling dissimilarity or scoreinduced neighborhood topologies and makes use of quasi 2nd order gradientbased (l)BFGS optimization. Changes:

About: A stochastic variant of the mirror descent algorithm employing Langford and Zhang's truncated gradient idea to minimize L1 regularized loss minimization problems for classification and regression. Changes:Fixed major bug in implementation. The components of the iterate where the current example vector is zero were not being updated correctly. Thanks to Jonathan Chang for pointing out the error to us.

About: A WEKA package for analyzing emotion and sentiment of tweets. Changes:Initial Announcement on mloss.org.

About: OpenKernel is a library for creating, combining, learning and using kernels for machine learning applications. Changes:Initial Announcement on mloss.org.

About: TinyOS is a small operating for small (wireless) sensors. LEGO MINDSTORMS NXT is a platform for embedded systems experimentation: The combination of NXT and TinyOS is NXTMOTE. Changes:Initial Announcement on mloss.org.

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: Monte (python) is a small machine learning library written in pure Python. The focus is on gradient based learning, in particular on the construction of complex models from many smaller components. Changes:Initial Announcement on mloss.org.

About: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model Changes:Fetched by rcranrobot on 20130401 00:00:05.305206
