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Spice and Math

Friday, October 24, 2014. Atmosphere GM - Statistical package. Project site: 9il.github.io/atmosphere gm. Separating mixtures of probability distributions. Optimization over sliding window. Documentation can be found here. To use this package. Put the following dependency into your project's dub. Json into the dependencies section:. It is suggested the llvm D compiler. Be used for benchmarks. Project requires LDC version = 0.15.0 or DMD = 2.066, or corresponding GDC release. The DMD. Is easy way to start.

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Spice and Math | spiceandmath.blogspot.com Reviews

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Friday, October 24, 2014. Atmosphere GM - Statistical package. Project site: 9il.github.io/atmosphere gm. Separating mixtures of probability distributions. Optimization over sliding window. Documentation can be found here. To use this package. Put the following dependency into your project's dub. Json into the dependencies section:. It is suggested the llvm D compiler. Be used for benchmarks. Project requires LDC version = 0.15.0 or DMD = 2.066, or corresponding GDC release. The DMD. Is easy way to start.

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1 spice and math

2 features

3 grid methods

4 parameterized algorithms

5 documentation

6 installation

7 dependencies

8 atmosphere gm

9 benchmarking

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Spice and Math | spiceandmath.blogspot.com Reviews

https://spiceandmath.blogspot.com

Friday, October 24, 2014. Atmosphere GM - Statistical package. Project site: 9il.github.io/atmosphere gm. Separating mixtures of probability distributions. Optimization over sliding window. Documentation can be found here. To use this package. Put the following dependency into your project's dub. Json into the dependencies section:. It is suggested the llvm D compiler. Be used for benchmarks. Project requires LDC version = 0.15.0 or DMD = 2.066, or corresponding GDC release. The DMD. Is easy way to start.

INTERNAL PAGES

spiceandmath.blogspot.com

1

Spice and Math: Оптимизация EM-алгоритмов для вероятностного тематического моделирования на примере PLSA-EM-алгоритма

http://www.spiceandmath.blogspot.com/2013/09/em-plsa-em.html

Friday, September 13, 2013. Оптимизация EM-алгоритмов для вероятностного тематического моделирования на примере PLSA-EM-алгоритма. Как правило тестирование EM алгоритмов затратно по времени. Данная статья призвана обозначить основные способы оптимизации и готовые инструменты, применимые к широкому спектру алгоритмов, работающих с матрицами на примере PLSA-EM алгоритма. Последующее изложение происходит в терминологии "Модификации EM-алгоритма для вероятностного тематического моделирования". Использование ...

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Spice and Math: October 2014

http://www.spiceandmath.blogspot.com/2014_10_01_archive.html

Friday, October 24, 2014. Atmosphere GM - Statistical package. Project site: 9il.github.io/atmosphere gm. Separating mixtures of probability distributions. Optimization over sliding window. Documentation can be found here. To use this package. Put the following dependency into your project's dub. Json into the dependencies section:. It is suggested the llvm D compiler. Be used for benchmarks. Project requires LDC version = 0.15.0 or DMD = 2.066, or corresponding GDC release. The DMD. Is easy way to start.

3

Spice and Math: Atmosphere GM - Statistical package

http://www.spiceandmath.blogspot.com/2014/10/atmosphere-gm-statistical-package.html

Friday, October 24, 2014. Atmosphere GM - Statistical package. Project site: 9il.github.io/atmosphere gm. Separating mixtures of probability distributions. Optimization over sliding window. Documentation can be found here. To use this package. Put the following dependency into your project's dub. Json into the dependencies section:. It is suggested the llvm D compiler. Be used for benchmarks. Project requires LDC version = 0.15.0 or DMD = 2.066, or corresponding GDC release. The DMD. Is easy way to start.

4

Spice and Math: September 2013

http://www.spiceandmath.blogspot.com/2013_09_01_archive.html

Friday, September 13, 2013. Оптимизация EM-алгоритмов для вероятностного тематического моделирования на примере PLSA-EM-алгоритма. Как правило тестирование EM алгоритмов затратно по времени. Данная статья призвана обозначить основные способы оптимизации и готовые инструменты, применимые к широкому спектру алгоритмов, работающих с матрицами на примере PLSA-EM алгоритма. Последующее изложение происходит в терминологии "Модификации EM-алгоритма для вероятностного тематического моделирования". Использование ...

5

Spice and Math: atmosphere_gm. Российский анонс библиотеки быстрых сеточных методов разделения смесей вероятностных распределений.

http://www.spiceandmath.blogspot.com/2014/01/atmospherefgm.html

Thursday, January 9, 2014. Atmosphere gm. Российский анонс библиотеки быстрых сеточных методов разделения смесей вероятностных распределений. Всем добрый день и с Наступившим! Основной алгоритм разделения смесей сейчас в значительной степени переработан и улучшен. Обобщен шаблонами на случай смесей N-параметрических распределений. Пользователю нужно задать размерность и необходимую функцию плотности соответствующей размерности. Библиотека разделена на пакеты:. Алгоритмы независимые от платформы. Модуль с...

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Friday, October 24, 2014. Atmosphere GM - Statistical package. Project site: 9il.github.io/atmosphere gm. Separating mixtures of probability distributions. Optimization over sliding window. Documentation can be found here. To use this package. Put the following dependency into your project's dub. Json into the dependencies section:. It is suggested the llvm D compiler. Be used for benchmarks. Project requires LDC version = 0.15.0 or DMD = 2.066, or corresponding GDC release. The DMD. Is easy way to start.

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