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Showing Items 661-674 of 674 on page 34 of 34: First Previous 29 30 31 32 33 34

Logo iLANN SVD. An incremental noniterative learning method for one layer feedforwar 1.0

by ofontenla - August 16, 2017, 11:53:40 CET [ BibTeX BibTeX for corresponding Paper Download ] 2013 views, 562 downloads, 0 subscriptions

About: A non-iterative, incremental and hyperparameter-free learning method for one-layer feedforward neural networks without hidden layers. This method efficiently obtains the optimal parameters of the network, regardless of whether the data contains a greater number of samples than variables or vice versa. It does this by using a square loss function that measures errors before the output activation functions and scales them by the slope of these functions at each data point. The outcome is a system of linear equations that obtain the network's weights and that is further transformed using Singular Value Decomposition.

Changes:

Initial Announcement on mloss.org.


Logo LANN SVD. A noniterative SVD based learning algorithm for one layer neural nets 1.0

by ofontenla - August 7, 2017, 13:52:19 CET [ BibTeX BibTeX for corresponding Paper Download ] 1941 views, 555 downloads, 0 subscriptions

About: A non-iterative learning method for one-layer (no hidden layer) neural networks, where the weights can be calculated in a closed-form manner, thereby avoiding low convergence rate and also hyperparameter tuning. The proposed learning method, LANN-SVD in short, presents a good computational efficiency for large-scale data analytic.

Changes:

Initial Announcement on mloss.org.


Logo MDLText 1

by renatoms88 - March 3, 2016, 19:31:25 CET [ BibTeX Download ] 1931 views, 784 downloads, 0 subscriptions

About: testing mloss.org

Changes:

Initial Announcement on mloss.org.


Logo contextual 0.9.8.2

by robinvanemden - July 9, 2019, 14:22:28 CET [ Project Homepage BibTeX Download ] 1922 views, 623 downloads, 2 subscriptions

About: R package facilitating the simulation and evaluation of context-free and contextual Multi-Armed Bandit policies.

Changes:

Minor update


Logo diffpriv 0.4.2

by brubinstein - July 18, 2017, 16:09:59 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1867 views, 449 downloads, 0 subscriptions

About: Easy differential privacy

Changes:

Initial Announcement on mloss.org.


Logo Databases for DMNS source codes 1.0

by openpr_nlpr - May 15, 2018, 07:56:12 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1850 views, 367 downloads, 0 subscriptions

About: In DMNS source, five databases are used in slover.cpp and data_veh_layer.cpp, these images and databases are included in this file, except munich database.

Changes:

Initial Announcement on mloss.org.


Logo Source codes of DMNS based on caffe platform 1.0

by openpr_nlpr - May 15, 2018, 07:52:48 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1826 views, 351 downloads, 0 subscriptions

About: Deep measuring net sequence(DMNS) is a sequence of three deep measuring nets, the later are deep fcn-based networks, directely output object category score, object orientation, location and scale simultaneously without any anchor boxes. DMNS acheived high accuracy in maneuvering target detection and geometrical measurements. Its average orientation error is less than 3.5 degree, loaction error less than 1.3 pixel, scale measuring error less than 10%, achieve a detection F1-score 96.5% in OAD, 91.8% in SVDS ,90.8% in Munich , 87.3% in OIRDS, outperforms SSD, Fater R-CNN, etc.

Changes:

Initial Announcement on mloss.org.


Logo bufferkdtree 1.3

by fgieseke - October 20, 2017, 11:39:59 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1822 views, 412 downloads, 0 subscriptions

About: The bufferkdtree package is a Python library that aims at accelerating nearest neighbor computations using both k-d trees and modern many-core devices such as graphics processing units (GPUs).

Changes:

Initial Announcement on mloss.org.


Logo DFLsklearn, Hyperparameters optimization in Scikit Learn 0.1

by vlatorre - November 23, 2017, 13:14:36 CET [ Project Homepage BibTeX Download ] 1637 views, 426 downloads, 0 subscriptions

About: A method to optimize the hyperparameters for machine learning methods implemented in Scikit-learn based on Derivative Free Optimization

Changes:

Initial Announcement on mloss.org.


Logo choix 0.3.1

by lum - February 12, 2018, 14:47:04 CET [ Project Homepage BibTeX Download ] 1479 views, 411 downloads, 0 subscriptions

About: Inference algorithms for models based on Luce's choice axiom.

Changes:

Initial Announcement on mloss.org.


Logo DataDeps.jl v0.2.2

by oxinabox - February 8, 2018, 03:54:26 CET [ Project Homepage BibTeX Download ] 1380 views, 450 downloads, 0 subscriptions

About: DataDeps is a package for simplifying the management of data in your julia application. In particular it is designed to make getting static data from some server into the local machine, and making programs know where that data is trivial.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-darch 0.12.0

by r-cran-robot - July 19, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 1330 views, 392 downloads, 0 subscriptions

About: Package for Deep Architectures and Restricted Boltzmann Machines

Changes:

Fetched by r-cran-robot on 2018-01-01 00:00:07.467914


Logo Operator Discretization Library 0.6

by jonasadl - December 19, 2017, 15:24:08 CET [ Project Homepage BibTeX Download ] 1325 views, 423 downloads, 0 subscriptions

About: Operator Discretization Library (ODL) is a Python library that enables research in inverse problems on realistic or real data.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-deepnet 0.2

by r-cran-robot - March 20, 2014, 00:00:00 CET [ Project Homepage BibTeX Download ] 1298 views, 391 downloads, 0 subscriptions

About: deep learning toolkit in R

Changes:

Fetched by r-cran-robot on 2018-01-01 00:00:07.583485


Showing Items 661-674 of 674 on page 34 of 34: First Previous 29 30 31 32 33 34