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Showing Items 321-330 of 642 on page 33 of 65: First Previous 28 29 30 31 32 33 34 35 36 37 38 Next Last

Logo r-cran-sda 1.2.1

by r-cran-robot - January 22, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 6707 views, 1441 downloads, 0 subscriptions

About: Shrinkage Discriminant Analysis and CAT Score Variable Selection

Changes:

Fetched by r-cran-robot on 2012-02-01 00:00:11.559491


Logo HLearn 1.0

by mikeizbicki - May 9, 2013, 05:58:18 CET [ Project Homepage BibTeX Download ] 6706 views, 1690 downloads, 1 subscription

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

Changes:

Updated to version 1.0


Logo FlexCRFs 0.3

by pxhieu - May 10, 2008, 09:24:54 CET [ Project Homepage BibTeX Download ] 6704 views, 3341 downloads, 1 subscription

About: FlexCRFs is a conditional random field toolkit for segmenting and labeling sequence data written in C/C++ using STL library. It was implemented based on the theoretic model presented in (Lafferty et [...]

Changes:

Initial Announcement on mloss.org.


Logo iBoost 0.1

by hiroto - December 1, 2007, 00:34:06 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6688 views, 1586 downloads, 0 subscriptions

About: Itemset boosting (iBoost) performs linear regression in the complete space of power sets of mutations. It implements a forward feature selection procedure where, in each iteration, one mutation [...]

Changes:

Initial Announcement on mloss.org.


Logo CVXOPT 1.1

by jdahl - October 24, 2008, 21:37:16 CET [ Project Homepage BibTeX Download ] 6687 views, 1980 downloads, 0 comments, 2 subscriptions

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About: CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python [...]

Changes:

Initial Announcement on mloss.org.


Logo Sparse MultiTask Learning Toolbox 1.2

by rflamary - March 18, 2012, 11:31:00 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6682 views, 1418 downloads, 1 subscription

About: This package is a set of Matlab scripts that implements the algorithms described in the submitted paper: "Lp-Lq Sparse Linear and Sparse Multiple Kernel MultiTask Learning".

Changes:

Initial Announcement on mloss.org.


Logo dANN AI Library 1.3

by freemo - April 25, 2010, 05:36:46 CET [ Project Homepage BibTeX Download ] 6642 views, 1574 downloads, 1 subscription

About: dANN is an Artificial Intelligence and Artificial Genetics library targeted at employing conventional techniques as well as acting as a platform for research & development of novel techniques. As new techniques are developed and proven to be effective they will be integrated into the core library. It is currently written in Java, C++, and C#. However only the java version is currently in active development. If you want to obtain a version other than the java version you will need to get it directly from GIT.

Changes:

Please get the version in GIT only, the released version is old.


Logo Nen Beta

by pascal - February 19, 2012, 00:31:34 CET [ Project Homepage BibTeX Download ] 6640 views, 1636 downloads, 1 subscription

About: 3-layer neural network for regression with sigmoid activation function and command line interface similar to LibSVM.

Changes:

Initial Announcement on mloss.org.


Logo EANT Without Structural Optimization 1.0

by yk - September 28, 2009, 12:34:38 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6571 views, 2026 downloads, 1 subscription

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.


Logo RLPy 1.3a

by bobklein2 - August 28, 2014, 14:34:35 CET [ Project Homepage BibTeX Download ] 6567 views, 1370 downloads, 1 subscription

About: RLPy is a framework for performing reinforcement learning (RL) experiments in Python. RLPy provides a large library of agent and domain components, and a suite of tools to aid in experiments (parallelization, hyperparameter optimization, code profiling, and plotting).

Changes:
  • Fixed bug where results using same random seed were different with visualization turned on/off
  • Created RLPy package on pypi (Available at https://pypi.python.org/pypi/rlpy)
  • Switched from custom logger class to python default
  • Added unit tests
  • Code readability improvements (formatting, variable names/ordering)
  • Restructured TD Learning heirarchy
  • Updated tutorials

Showing Items 321-330 of 642 on page 33 of 65: First Previous 28 29 30 31 32 33 34 35 36 37 38 Next Last