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Showing Items 221-240 of 674 on page 12 of 34: First Previous 7 8 9 10 11 12 13 14 15 16 17 Next Last

Logo r-cran-REEMtree 0.90.3

by r-cran-robot - July 15, 2011, 00:00:00 CET [ Project Homepage BibTeX Download ] 11416 views, 2504 downloads, 0 subscriptions

About: Regression Trees with Random Effects for Longitudinal (Panel) Data

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:08.040424


Logo Piqle 2.0

by fdecomite - June 19, 2009, 10:16:53 CET [ Project Homepage BibTeX Download ] 6301 views, 2504 downloads, 0 subscriptions

About: Piqle (Platform for Implementing Q-Learning Experiments) is a Java framework for fast design, prototyping and test of reinforcement learning experiments (RL). By clearly separating algorithms and problems, it allows users to focus on either part of the RL paradigm:designing new algorithms or implementing new problems. Piqle implements many classical RL algorithms, making their parameters easily tunable. At this time, 13 problems are implemented, several with one or more variants. The user's manual explains in detail how to code a new problem. Written in Java, Piqle is as platform-independent as Java itself. Its components can easily be embedded as part of complex implementations, like robotics or decision making.

Changes:

Initial Announcement on mloss.org.


Logo cbMDS Correlation Based Multi Dimensional Scaling 1.2

by emstrick - July 27, 2013, 14:35:36 CET [ BibTeX BibTeX for corresponding Paper Download ] 11099 views, 2489 downloads, 0 subscriptions

About: The aim is to embed a given data relationship matrix into a low-dimensional Euclidean space such that the point distances / distance ranks correlate best with the original input relationships. Input relationships may be given as (sparse) (asymmetric) distance, dissimilarity, or (negative!) score matrices. Input-output relations are modeled as low-conditioned. (Weighted) Pearson and soft Spearman rank correlation, and unweighted soft Kendall correlation are supported correlation measures for input/output object neighborhood relationships.

Changes:
  • Initial release (Ver 1.0): Weighted Pearson and correlation and soft Spearman rank correlation, Tue Dec 4 16:14:51 CET 2012

  • Ver 1.1 Added soft Kendall correlation, Fri Mar 8 08:41:09 CET 2013

  • Ver 1.2 Added reconstruction of sparse relationship matrices, Fri Jul 26 16:58:37 CEST 2013


Logo LibSGDQN 1.1

by antojne - July 2, 2009, 15:02:44 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 12334 views, 2486 downloads, 0 subscriptions

About: LibSGDQN proposes an implementation of SGD-QN, a carefully designed quasi-Newton stochastic gradient descent solver for linear SVMs.

Changes:

small bug fix (thx nicolas ;)


Logo Moses Decoder 2010-08-13

by oliver_wilson - September 3, 2010, 13:49:43 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8807 views, 2484 downloads, 0 comments, 0 subscriptions

About: Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair. All you need is a collection of translated texts (parallel corpus). An efficient search algorithm finds quickly the highest probability translation among the exponential number of choices.

Changes:

Initial Announcement on mloss.org.


Logo SVM with uncertain labels 0.2

by rflamary - July 17, 2012, 11:06:23 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 12133 views, 2451 downloads, 0 subscriptions

About: Matlab code for learning probabilistic SVM in the presence of uncertain labels.

Changes:

Added missing dataset function (thanks to Hao Wu)


Logo Aciqra 1.2.1

by Caglow - June 25, 2009, 23:30:22 CET [ BibTeX Download ] 5314 views, 2444 downloads, 0 subscriptions

About: A desktop planetarium and sky map program which shows the sky from anywhere on Earth at any time.

Changes:

Removed erroneous topocentric code. Increased maximum zoom for detail on planets.


Logo K tree 0.4.2

by cdevries - July 4, 2011, 06:01:59 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 12251 views, 2435 downloads, 0 subscriptions

About: The K-tree is a scalable approach to clustering inspired by the B+-tree and k-means algorithms.

Changes:

Release of K-tree implementation in Python. This is targeted at a research and rapid prototyping audience.


Logo Light Mutual Min Algorithm for Learning Bayesian Networks 1.0

by ramimahdi - May 14, 2013, 02:06:19 CET [ BibTeX BibTeX for corresponding Paper Download ] 5420 views, 2426 downloads, 0 subscriptions

About: A fast and robust learning of Bayesian networks

Changes:

Initial Announcement on mloss.org.


Logo dataformat 0.1.1

by mikio - March 12, 2009, 16:07:55 CET [ Project Homepage BibTeX Download ] 11639 views, 2416 downloads, 0 subscriptions

About: The goal of this project is to provide code for reading and writing machine learning data sets for as many programming languages as possible.

Changes:

Forgot to include the Java sources.


Logo ChemCpp 1.0.2

by pmahe - November 28, 2007, 21:47:44 CET [ Project Homepage BibTeX Download ] 6988 views, 2412 downloads, 0 subscriptions

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About: ChemCpp is a C++ toolbox for chemoinformatics focusing on the computation of kernel functions between chemical compounds.

Changes:

Initial Announcement on mloss.org.


Logo OpenKernel library 0.1

by allauzen - April 23, 2010, 05:25:20 CET [ Project Homepage BibTeX Download ] 15520 views, 2406 downloads, 0 subscriptions

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About: OpenKernel is a library for creating, combining, learning and using kernels for machine learning applications.

Changes:

Initial Announcement on mloss.org.


Logo Torch 5 5.1

by andresy - October 1, 2008, 04:25:12 CET [ Project Homepage BibTeX Download ] 15233 views, 2401 downloads, 0 subscriptions

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About: Torch5 provides a matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to a easy and fast scripting [...]

Changes:

Initial Announcement on mloss.org.


Logo OpenCV, The Open Computer Vision Library 1.0

by bornet - April 24, 2008, 12:15:59 CET [ Project Homepage BibTeX Download ] 9470 views, 2400 downloads, 0 comments, 0 subscriptions

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About: The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL and utilizes Intel Integrated Performance [...]

Changes:

Initial Announcement on mloss.org.


Logo xSNE Stochastic Neighbor Embedding methods with novel neighborhood probabilities 1.2

by emstrick - August 20, 2013, 11:02:21 CET [ BibTeX BibTeX for corresponding Paper Download ] 9567 views, 2398 downloads, 0 subscriptions

About: Stochastic neighbor embedding originally aims at the reconstruction of given distance relations in a low-dimensional Euclidean space. This can be regarded as general approach to multi-dimensional scaling, but the reconstruction is based on the definition of input (and output) neighborhood probability alone. The present implementation also allows for handling dissimilarity or score-induced neighborhood topologies and makes use of quasi 2nd order gradient-based (l-)BFGS optimization.

Changes:
  • gradient in xsne_fun.m fixed! (constant factor m was missing)

  • symmetry option re-introduced allowing for enabling symmetric and asymmetric versions of SNE and t-SNE


Logo Generalised Stirling Numbers libstb 1.0 1.4

by wbuntine - September 28, 2012, 13:49:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 13786 views, 2387 downloads, 0 subscriptions

About: THIS VERSION DISCONTINUED, see "http://mloss.org/software/view/424/". This library provides ways of computing generalised 2nd-order Stirling numbers for Pitman-Yor and Dirichlet processes. Included is a tester and parameter optimiser. This accompanies Buntine and Hutter's article: http://arxiv.org/abs/1007.0296

Changes:

See the alternative MLOSS entry "libstb". Updated to 1.4!


Logo SparklingGraph 0.0.7

by riomus - May 22, 2017, 15:29:28 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 11204 views, 2384 downloads, 0 subscriptions

About: Large scale, distributed graph processing made easy.

Changes:

Graph partitioning methods APSP approximation method Performance improvements License change Bug fixes


Logo HDDM 0.5

by Wiecki - April 24, 2013, 02:53:07 CET [ Project Homepage BibTeX Download ] 10425 views, 2383 downloads, 0 subscriptions

About: HDDM is a python toolbox for hierarchical Bayesian parameter estimation of the Drift Diffusion Model (via PyMC). Drift Diffusion Models are used widely in psychology and cognitive neuroscience to study decision making.

Changes:
  • New and improved HDDM model with the following changes:
    • Priors: by default model will use informative priors (see http://ski.clps.brown.edu/hddm_docs/methods.html#hierarchical-drift-diffusion-models-used-in-hddm) If you want uninformative priors, set informative=False.
    • Sampling: This model uses slice sampling which leads to faster convergence while being slower to generate an individual sample. In our experiments, burnin of 20 is often good enough.
    • Inter-trial variablity parameters are only estimated at the group level, not for individual subjects.
    • The old model has been renamed to HDDMTransformed.
    • HDDMRegression and HDDMStimCoding are also using this model.
  • HDDMRegression takes patsy model specification strings. See http://ski.clps.brown.edu/hddm_docs/howto.html#estimate-a-regression-model and http://ski.clps.brown.edu/hddm_docs/tutorial_regression_stimcoding.html#chap-tutorial-hddm-regression
  • Improved online documentation at http://ski.clps.brown.edu/hddm_docs
  • A new HDDM demo at http://ski.clps.brown.edu/hddm_docs/demo.html
  • Ratcliff's quantile optimization method for single subjects and groups using the .optimize() method
  • Maximum likelihood optimization.
  • Many bugfixes and better test coverage.
  • hddm_fit.py command line utility is depracated.

Logo r-cran-glmpath 0.97

by r-cran-robot - February 5, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 11676 views, 2370 downloads, 0 subscriptions

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


Logo scikits.learn 0.6

by fabianp - December 22, 2010, 11:58:30 CET [ Project Homepage BibTeX Download ] 12730 views, 2368 downloads, 0 subscriptions

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About: Obsolete. Use https://mloss.org/software/view/240/ instead.

Changes:

0.6 release


Showing Items 221-240 of 674 on page 12 of 34: First Previous 7 8 9 10 11 12 13 14 15 16 17 Next Last