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Showing Items 291-300 of 540 on page 30 of 54: First Previous 25 26 27 28 29 30 31 32 33 34 35 Next Last

Logo Nonparametric Sparse Factor Analysis 1

by davidknowles - July 26, 2013, 01:02:02 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1466 views, 314 downloads, 1 subscription

About: This is the core MCMC sampler for the nonparametric sparse factor analysis model presented in David A. Knowles and Zoubin Ghahramani (2011). Nonparametric Bayesian Sparse Factor Models with application to Gene Expression modelling. Annals of Applied Statistics

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Initial Announcement on mloss.org.


Logo NuPIC 0.1

by rhyolight - August 21, 2013, 21:01:46 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1150 views, 458 downloads, 1 subscription

About: The mission of this project is to build and support a community interested in machine learning and machine intelligence based on modeling the neocortex and the principles upon which it works.

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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.


Logo Oboe A Chinese Syntactic Parser 1.0

by openpr_nlpr - April 9, 2012, 09:08:35 CET [ Project Homepage BibTeX Download ] 1894 views, 415 downloads, 1 subscription

About: Oboe is a software for Chinese syntactic parsing, and it can display syntactic trees in a graphical view with two kinds of representation: phrase tree and dependency tree. So it is very helpful for NLP researchers, especially for researchers focusing on syntax-based methods.

Changes:

Initial Announcement on mloss.org.


Logo Oger 1.1.3

by dvrstrae - August 13, 2012, 14:55:41 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 2439 views, 951 downloads, 1 subscription

About: The OrGanic Environment for Reservoir computing (Oger) toolbox is a Python toolbox for rapidly building, training and evaluating modular learning architectures on large datasets.

Changes:

Initial Announcement on mloss.org.


Logo Ohmm 0.02

by hillbig - May 21, 2009, 10:07:53 CET [ Project Homepage BibTeX Download ] 3512 views, 966 downloads, 1 subscription

About: Ohmm is a library for learning hidden Markov models by using Online EM algorithm. This library is specialized for large scale data; e.g. 1 million words. The output includes parameters, and estimation results.

Changes:

Initial Announcement on mloss.org.


Logo OLaRankExact 1.0

by antojne - June 24, 2009, 17:03:48 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3822 views, 920 downloads, 1 subscription

About: OLaRank is an online solver of the dual formulation of support vector machines for sequence labeling using viterbi decoding.

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Initial Announcement on mloss.org.


Logo OLaRankGreedy 1.0

by antojne - June 24, 2009, 17:07:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4134 views, 900 downloads, 1 subscription

About: OLaRankGreedy is an online solver of the dual formulation of support vector machines for sequence labeling using greedy inference.

Changes:

Initial Announcement on mloss.org.


Logo OLL 0.02

by hillbig - May 21, 2009, 10:08:31 CET [ Project Homepage BibTeX Download ] 6058 views, 1316 downloads, 1 subscription

About: OLL is a library supporting several for online-learning algorithms, which provides C++ library, and stand-alone programs for learning, predicting. OLL is specialized for large-scale, but sparse, [...]

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Initial Announcement on mloss.org.


Logo Online Random Forests 0.11

by amirsaffari - October 3, 2009, 17:25:41 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7842 views, 1346 downloads, 1 subscription

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.


Showing Items 291-300 of 540 on page 30 of 54: First Previous 25 26 27 28 29 30 31 32 33 34 35 Next Last