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About: Matlab code for semisupervised regression and dimensionality reduction using Hessian energy. Changes:Initial Announcement on mloss.org.

About: Visualizing the performance of scoring classifiers. Changes:Fetched by rcranrobot on 20130401 00:00:08.344833

About: A (randomized) coordinate descent procedure to minimize L1 regularized loss for classification and regression purposes. Changes:Fixed some I/O bugs. Lines that ended with whitespace were not read correctly in the previous version.

About: A Java library to create, process and manage mixtures of exponential families. Changes:Initial Announcement on mloss.org.

About: Recursively Partitioned Mixture Model Changes:Initial Announcement on mloss.org by rcranrobot

About: SeqAn is an open source C++ library of efficient algorithms and data structures for the analysis of sequences with the focus on biological data. Changes:

About: RLGlue allows agents, environments, and experiments written in Java, C/C++, Matlab, Python, and Lisp to inter operate, accelerating research by promoting software reuse in the community. Changes:RLGlue paper has been published in JMLR.

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: EANT Without Structural Optimization is used to learn a policy in either complete or partially observable reinforcement learning domains of continuous state and action space. Changes:Initial Announcement on mloss.org.

About: VR Changes:Fetched by rcranrobot on 20091003 07:16:05.643423
