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Logo Kernel Machine Library 0.2

by pawelm - December 27, 2011, 17:14:01 CET [ Project Homepage BibTeX BibTeX for corresponding Paper ] 6565 views, 281 downloads, 1 subscription

About: The Kernel-Machine Library is a free (released under the LGPL) C++ library to promote the use of and progress of kernel machines.

Changes:

Updated mloss entry (minor fixes).


Logo Primal training Support Vector Machines 1.0

by chap - November 19, 2007, 17:41:14 CET [ Project Homepage BibTeX Download ] 6553 views, 1504 downloads, 0 comments, 0 subscriptions

About: Very simple code for training SVMs in the primal. Works particularly well on sparse linear problems. In the non-linear case the entire kernel matrix needs to be computed, so for large problems it is [...]

Changes:

Initial Announcement on mloss.org.


Logo Dirichlet Forest LDA 0.1.1

by davidandrzej - July 16, 2009, 21:59:53 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6527 views, 1353 downloads, 1 subscription

About: This software implements the Dirichlet Forest (DF) Prior within the Latent Dirichlet Allocation (LDA) model. When combined with LDA, the Dirichlet Forest Prior allows the user to encode domain knowledge (must-links and cannot-links between words) into the prior on topic-word multinomials.

Changes:

Initial Announcement on mloss.org.


About: A Java library to create, process and manage mixtures of exponential families.

Changes:

Initial Announcement on mloss.org.


Logo arts 0.2

by sonne - May 25, 2009, 09:56:31 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6491 views, 1399 downloads, 1 subscription

About: ARTS is an accurate predictor for Transcription Start Sites (TSS).

Changes:

Initial Announcement on mloss.org.


Logo Sequin v1.1.0.0

by apitman - September 23, 2011, 11:47:53 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6482 views, 1566 downloads, 1 subscription

About: Sequin is an open source sequence mining library written in C#.

Changes:

Sequin v1.1.0.0 released


Logo r-cran-bst 0.3-14

by r-cran-robot - September 12, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 6455 views, 1503 downloads, 2 subscriptions

About: Gradient Boosting

Changes:

Fetched by r-cran-robot on 2016-12-01 00:00:04.167277


Logo HDDM 0.5

by Wiecki - April 24, 2013, 02:53:07 CET [ Project Homepage BibTeX Download ] 6448 views, 1575 downloads, 1 subscription

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 MOSIS 0.55

by claasahl - March 9, 2014, 17:35:40 CET [ BibTeX Download ] 6410 views, 2008 downloads, 2 subscriptions

About: MOSIS is a modularized framework for signal processing, stream analysis, machine learning and stream mining applications.

Changes:
  • Move "flow"-related classes into package "de.claas.mosis.flow" (e.g. Node and Link).
  • Refined and improved "flow"-related tests (e.g. Iterator and Node tests).
  • Refactored tests for data formats (e.g. PlainText and JSON tests).
  • Added visitor design pattern for graph-based functions (e.g. initialization and processing).
  • Documented parameters of Processor implementations.

Logo SVQP 2

by leonbottou - January 31, 2009, 14:22:04 CET [ Project Homepage BibTeX Download ] 6400 views, 2128 downloads, 0 subscriptions

About: SVQP1 and SVQP2 are QP solvers for training SVM.

Changes:

Initial Announcement on mloss.org.


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