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Showing Items 461-470 of 519 on page 47 of 52: First Previous 42 43 44 45 46 47 48 49 50 51 52 Next

Logo Probabilistic Latent Semantic Indexing 1.0.0

by openpr_nlpr - December 2, 2011, 04:42:02 CET [ Project Homepage BibTeX Download ] 967 views, 228 downloads, 1 subscription

About: Hofmann, T. 1999. Probabilistic latent semantic indexing. In Proceedings of the 22nd ACM-SIGIR International Conference on Research and Development in Information Retrieval (Berkeley,Calif.), ACM, New York, 50–57.

Changes:

Initial Announcement on mloss.org.


About: This letter proposes a new multiple linear regression model using regularized correntropy for robust pattern recognition. First, we motivate the use of correntropy to improve the robustness of the classicalmean square error (MSE) criterion that is sensitive to outliers. Then an l1 regularization scheme is imposed on the correntropy to learn robust and sparse representations. Based on the half-quadratic optimization technique, we propose a novel algorithm to solve the nonlinear optimization problem. Second, we develop a new correntropy-based classifier based on the learned regularization scheme for robust object recognition. Extensive experiments over several applications confirm that the correntropy-based l1 regularization can improve recognition accuracy and receiver operator characteristic curves under noise corruption and occlusion.

Changes:

Initial Announcement on mloss.org.


Logo Nonparametric Sparse Factor Analysis 1

by davidknowles - July 26, 2013, 01:02:02 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 954 views, 223 downloads, 1 subscription

About: This is the core MCMC sampler for the nonparametric sparse factor analysis model presented in David A. Knowles and Zoubin Ghahramani (2011). Nonparametric Bayesian Sparse Factor Models with application to Gene Expression modelling. Annals of Applied Statistics

Changes:

Initial Announcement on mloss.org.


Logo GradMC 2.00

by tur - April 14, 2014, 15:48:48 CET [ BibTeX Download ] 935 views, 344 downloads, 1 subscription

About: GradMC is an algorithm for MR motion artifact removal implemented in Matlab

Changes:

Added support for multi-rigid motion correction.


Logo r-cran-bst 0.3-3

by r-cran-robot - September 12, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 934 views, 190 downloads, 0 subscriptions

About: Gradient Boosting

Changes:

Fetched by r-cran-robot on 2014-04-01 00:00:04.470817


Logo RLPy 1.2

by bobklein2 - October 9, 2013, 03:33:43 CET [ Project Homepage BibTeX Download ] 929 views, 180 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:

Initial Announcement on mloss.org.


Logo pyGPs 1.1

by mn - October 8, 2013, 12:35:28 CET [ Project Homepage BibTeX Download ] 927 views, 241 downloads, 2 subscriptions

About: pyGPs is a Python package for Gaussian process (GP) regression and classification for machine learning.

Changes:

pyGPs v1.1 is released. It replaces pyGP_OO and contains substaintal updates in functionality and documentation. pyGP_PR v1.1 is released with substantial documentation updates and renamed (FN -> PR).


Logo Supervised Latent Semantic Indexing 1.0.0

by openpr_nlpr - December 2, 2011, 05:20:50 CET [ Project Homepage BibTeX Download ] 895 views, 264 downloads, 1 subscription

About: Supervised Latent Semantic Indexing(SLSI) is an supervised feature transformation method. The algorithms in this package are based on the iterative algorithm of Latent Semantic Indexing.

Changes:

Initial Announcement on mloss.org.


Logo Linear Discriminant Function Classifier 1.0.0

by openpr_nlpr - December 2, 2011, 05:27:27 CET [ Project Homepage BibTeX Download ] 893 views, 240 downloads, 1 subscription

About: This program is a C++ implementation of Linear Discriminant Function Classifier. Discriminant functions such as perceptron criterion, cross entropy (CE) criterion, and least mean square (LMS) criterion (all for multi-class classification problems) are supported in it. The program uses a sparse-data structure to represent the feature vector to seek higher computational speed. Some other techniques such as online updating, weights averaging, gaussian prior regularization are also supported.

Changes:

Initial Announcement on mloss.org.


Logo Pattern Recognition for Neuroimaging Toolbox v1.1

by chrisp - September 16, 2013, 23:19:56 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 881 views, 156 downloads, 1 subscription

About: PRoNTo is freely available software and aims to facilitate the interaction between the neuroimaging and machine learning communities. The toolbox is based on pattern recognition techniques for the analysis of neuroimaging data. PRoNTo supports the analysis of all image modalities as long as they are NIfTI format files. However, only the following modalites have been tested for version 1.1: sMRI, fMRI, PET, FA (fractional anisotropy) and Beta (GLM coefficients) images.

Changes:

Initial Announcement on mloss.org.


Showing Items 461-470 of 519 on page 47 of 52: First Previous 42 43 44 45 46 47 48 49 50 51 52 Next