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Logo Pyriel 1.5

by tfawcett - October 27, 2010, 09:12:53 CET [ BibTeX BibTeX for corresponding Paper Download ] 10334 views, 2225 downloads, 1 subscription

About: Pyriel is a Python system for learning classification rules from data. Unlike other rule learning systems, it is designed to learn rule lists that maximize the area under the ROC curve (AUC) instead of accuracy. Pyriel is mostly an experimental research tool, but it's robust and fast enough to be used for lightweight industrial data mining.

Changes:

1.5 Changed CF (confidence factor) to do LaPlace smoothing of estimates. New flag "--score-for-class C" causes scores to be computed relative to a given (positive) class. For two-class problems. Fixed bug in example sampling code (--sample n) Fixed bug keeping old-style example formats (terminated by dot) from working. More code restructuring.


Logo pySPACE 1.0

by krell84 - August 23, 2013, 21:00:32 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1377 views, 329 downloads, 1 subscription

About: --Signal Processing and Classification Environment in Python using YAML and supporting parallelization-- pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface.

Changes:

First release. Initial Announcement on mloss.org.


Logo PyStruct 0.2

by t3kcit - July 9, 2014, 09:29:23 CET [ Project Homepage BibTeX Download ] 1256 views, 375 downloads, 1 subscription

About: PyStruct is a framework for learning structured prediction in Python. It has a modular interface, similar to the well-known SVMstruct. Apart from learning algorithms it also contains model formulations for popular CRFs and interfaces to many inference algorithm implementation.

Changes:

Initial Announcement on mloss.org.


Logo Python Robotics 5.0.0

by dsblank - January 22, 2008, 20:25:17 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5429 views, 1104 downloads, 1 subscription

About: The goal of the project is to provide a programming environment for easily exploring advanced topics in artificial intelligence and robotics without having to worry about the low-level details of [...]

Changes:

Initial Announcement on mloss.org.


Logo python weka wrapper 0.1.8

by fracpete - June 26, 2014, 02:38:12 CET [ Project Homepage BibTeX Download ] 2525 views, 481 downloads, 2 subscriptions

About: A thin Python wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls.

Changes:
  • fixed installer: MANIFEST.in now includes CHANGES.rst and DESCRIPTION.rst as well

Logo Quasi Dense Matching 1.0.0

by openpr_nlpr - December 2, 2011, 04:44:19 CET [ Project Homepage BibTeX Download ] 1111 views, 331 downloads, 1 subscription

About: This program is used to find point matches between two images. The procedure can be divided into two parts: 1) use SIFT matching algorithm to find sparse point matches between two images. 2) use "quasi-dense propagation" algorithm to get "quasi-dense" point matches.

Changes:

Initial Announcement on mloss.org.


Logo QuickDT 0.1

by sanity - September 21, 2011, 13:43:37 CET [ Project Homepage BibTeX Download ] 1993 views, 595 downloads, 1 subscription

About: A decision tree learner that is designed to be reasonably fast, but the primary goal is ease of use

Changes:

Initial Announcement on mloss.org.


Logo r-cran-ahaz 1.14

by r-cran-robot - June 3, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 4274 views, 933 downloads, 0 subscriptions

About: Regularization for semiparametric additive hazards regression

Changes:

Fetched by r-cran-robot on 2014-07-01 00:00:03.834643


Logo r-cran-arules 1.1-3

by r-cran-robot - June 17, 2014, 00:00:00 CET [ Project Homepage BibTeX Download ] 12420 views, 2568 downloads, 2 subscriptions

About: Mining Association Rules and Frequent Itemsets

Changes:

Fetched by r-cran-robot on 2014-07-01 00:00:03.926443


Logo r-cran-BayesTree 0.3-1.1

by r-cran-robot - May 23, 2009, 00:00:00 CET [ Project Homepage BibTeX Download ] 4468 views, 925 downloads, 1 subscription

About: Bayesian Methods for Tree Based Models

Changes:

Fetched by r-cran-robot on 2014-05-01 00:00:04.694660


Showing Items 341-350 of 534 on page 35 of 54: First Previous 30 31 32 33 34 35 36 37 38 39 40 Next Last