DTIC AD1050972: General Purpose Probabilistic Programming Platform With Effective Stochastic Inference - Info and Reading Options
By Defense Technical Information Center
"DTIC AD1050972: General Purpose Probabilistic Programming Platform With Effective Stochastic Inference" and the language of the book is English.
“DTIC AD1050972: General Purpose Probabilistic Programming Platform With Effective Stochastic Inference” Metadata:
- Title: ➤ DTIC AD1050972: General Purpose Probabilistic Programming Platform With Effective Stochastic Inference
- Author: ➤ Defense Technical Information Center
- Language: English
Edition Identifiers:
- Internet Archive ID: DTIC_AD1050972
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"DTIC AD1050972: General Purpose Probabilistic Programming Platform With Effective Stochastic Inference" Description:
The Internet Archive:
Probabilistic modeling and machine learning have proven to be powerful tools in many defense, industrial, and scientific computing applications. Unfortunately, their continuing adoption has been hindered because engineering with them requires PhD-level expertise. Our research in this program led to the creation of multiple open-source probabilistic programming languages. These languages achieved key program goals, such as (i) reducing the lines of code required to build state-of-the-art machine learning systems by 50x; (ii) making machine learning and data science capabilities accessible to a broader class of programmers, by providing automatic model discovery mechanisms and simple, SQL like query languages; (iii) making it possible to deploy rich generative models to solve applied problems, and thereby solve hard 3D computer vision problems with no training data; and (iv) revealing interfaces and abstractions that unify abroad set of probabilistic programming languages and enable multiple inference strategies or solvers'' to interoperate
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"DTIC AD1050972: General Purpose Probabilistic Programming Platform With Effective Stochastic Inference" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 97.12 Mbs, and the file-s went public at Wed Aug 12 2020.
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- Internet Archive Link: Archive.org page
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- Number of Files: 16
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- Added Date: 2020-08-12 11:17:35
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