All entries.
Showing Items 161-170 of 535 on page 17 of 54: First Previous 12 13 14 15 16 17 18 19 20 21 22 Next Last

Logo HDDM 0.5

by Wiecki - April 24, 2013, 02:53:07 CET [ Project Homepage BibTeX Download ] 2994 views, 796 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 r-cran-rminer 1.3

by r-cran-robot - October 9, 2012, 00:00:00 CET [ Project Homepage BibTeX Download ] 2340 views, 479 downloads, 0 subscriptions

About: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression.

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:08.226306


Logo r-cran-rattle 2.6.26

by r-cran-robot - March 16, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 4662 views, 1073 downloads, 0 subscriptions

About: Graphical user interface for data mining in R

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:07.700426


Logo r-cran-ncvreg 2.5-0

by r-cran-robot - March 15, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 2415 views, 528 downloads, 0 subscriptions

About: Regularization paths for SCAD- and MCP-penalized regression models

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.449164


Logo r-cran-nnet 7.3-6

by r-cran-robot - March 20, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 4239 views, 910 downloads, 0 subscriptions

About: Feed-forward Neural Networks and Multinomial Log-Linear Models

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.544403


Logo r-cran-partykit 0.1-5

by r-cran-robot - March 22, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 2349 views, 526 downloads, 0 subscriptions

About: A Toolkit for Recursive Partytioning

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:06.838561


Logo r-cran-glmnet 1.9-3

by r-cran-robot - March 1, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 11299 views, 2547 downloads, 1 subscription

About: Lasso and elastic-net regularized generalized linear models

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:05.081872


Logo r-cran-klaR 0.6-8

by r-cran-robot - March 27, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 11490 views, 2403 downloads, 1 subscription

About: Classification and visualization

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:05.722314


Logo MICP 1.04

by kay_brodersen - March 26, 2013, 12:42:04 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4085 views, 852 downloads, 2 subscriptions

About: This toolbox implements models for Bayesian mixed-effects inference on classification performance in hierarchical classification analyses.

Changes:

In addition to the existing MATLAB implementation, the toolbox now also contains an R package of the variational Bayesian algorithm for mixed-effects inference.


Logo KMLib sparse GPU SVM 0.1

by ksopyla - March 20, 2013, 14:30:08 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1457 views, 344 downloads, 1 subscription

About: Support Vectors Machine library in .net with CUDA support. Library includes GPU SVM solver for kernels linear,RBF,Chi-Square and Exp Chi-Square which use NVIDIA CUDA technology. It allows for classification of feature rich sparse datasets through utilization of sparse matrix formats CSR, Ellpack-R or Sliced EllR-T

Changes:

Initial Announcement on mloss.org.


Showing Items 161-170 of 535 on page 17 of 54: First Previous 12 13 14 15 16 17 18 19 20 21 22 Next Last