RSS Feed - BlogShowing Items 221-240 of 676 on page 12 of 34: First Previous 7 8 9 10 11 12 13 14 15 16 17 Next Last
About: R genetic programming framework Changes:Fetched by r-cran-robot on 2013-04-01 00:00:08.163887
|
About: SVM Toolbox fully written in Matlab (even the QP solver). Features : SVM, MultiClassSVM, One-Class, SV Regression, AUC-SVM and Rankboost, 1-norm SVM, Regularization Networks, Kernel Basis Pursuit [...] Changes:Initial Announcement on mloss.org.
|
About: A Toolkit for Recursive Partytioning Changes:Fetched by r-cran-robot on 2013-04-01 00:00:06.838561
|
About: CRF++ is a simple, customizable, and open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data. Changes:Initial Announcement on mloss.org.
|
About: Reference implementation of the LASVM online and active SVM algorithms as described in the JMLR paper. The interesting bit is a small C library that implements the LASVM process and reprocess [...] Changes:Minor bug fix
|
About: GradMC is an algorithm for MR motion artifact removal implemented in Matlab Changes:Added support for multi-rigid motion correction.
|
About: a dbms for resonating neural networks. Create and use different types of machine learning algorithms. Changes:AIML compatible (AIML files can be imported); new 'Grid channel' for developing board games; improved topics editor; new demo project: ALice (from AIML); lots of bug-fixes and speed improvements
|
About: The Easysvm package provides a set of tools based on the Shogun toolbox allowing to train and test SVMs in a simple way. Changes:Fixes for shogun 0.7.3.
|
About: Matlab code for learning probabilistic SVM in the presence of uncertain labels. Changes:Added missing dataset function (thanks to Hao Wu)
|
About: A native Python, scikit-compatible, implementation of a variety of multi-label classification algorithms. Changes:
|
About: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model Changes:Fetched by r-cran-robot on 2013-04-01 00:00:05.305206
|
About: The library implements Optimized Cutting Plane Algorithm (OCAS) for efficient training of linear SVM classifiers from large-scale data. Changes:Implemented COFFIN framework which allows efficient training of invariant image classifiers via virtual examples.
|
About: GibbsLDA++: A C/C++ Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for parameter estimation and inference. GibbsLDA++ is fast and is designed to analyze hidden/latent topic [...] Changes:Initial Announcement on mloss.org.
|
|
About: Accurate splice site predictor for a variety of genomes. Changes:Asp now supports three formats: -g fname for gff format -s fname for spf format -b dir for a binary format compatible with mGene. And a new switch -t which switches on a sigmoid-based transformation of the svm scores to get scores between 0 and 1.
|
About: Visualizing the performance of scoring classifiers. Changes:Fetched by r-cran-robot on 2013-04-01 00:00:08.344833
|
About: Incremental (Online) Nonparametric Classifier. You can classify both points (standard) or matrices (multivariate time series). Java and Matlab code already available. Changes:version 2: parameterless system, constant model size, prediction confidence (for active learning). NEW!! C++ version at: https://github.com/ilaria-gori/ABACOC
|
About: This package implements the “Online Random Forests” (ORF) algorithm of Saffari et al., ICCV-OLCV 2009. This algorithm extends the offline Random Forests (RF) to learn from online training data samples. ORF is a multi-class classifier which is able to learn the classifier without 1-vs-all or 1-vs-1 binary decompositions. Changes:Initial Announcement on mloss.org.
|
|
About: Fitting user specified models with Group Lasso penalty Changes:Fetched by r-cran-robot on 2013-04-01 00:00:05.428021
|
About: OpenKernel is a library for creating, combining, learning and using kernels for machine learning applications. Changes:Initial Announcement on mloss.org.
|