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Curalate makes social sell with AI using Apache MXNet on AWS

转载自:https://aws.amazon.com/blogs/machine-learning/curalate-makes-social-sell-with-ai-using-apache-mxnet-on-aws/

Cynthya Peranandam


发表于 2018-08-13

Curalate helps brands convert social influence into sales. The Philadelphia-based startup makes it easy for digital-savvy consumers to make associations between products they see on social channels and where they can buy the very same products. Previously, consumers had to hunt through online catalogs on their own to find a specific product from a social image. With Curalate, products can be linked automatically to where they can be bought.

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Document worth reading: “Weighted Abstract Dialectical Frameworks: Extended and Revised Report”

转载自:https://advanceddataanalytics.net/2018/08/13/document-worth-reading-weighted-abstract-dialectical-frameworks-extended-and-revised-report/

Michael Laux


发表于 2018-08-13

Abstract Dialectical Frameworks (ADFs) generalize Dung’s argumentation frameworks allowing various relationships among arguments to be expressed in a systematic way. We further generalize ADFs so as to accommodate arbitrary acceptance degrees for the arguments. This makes ADFs applicable in domains where both the initial status of arguments and their relationship are only insufficiently specified by Boolean functions. We define all standard ADF semantics for the weighted case, including grounded, preferred and stable semantics. We illustrate our approach using acceptance degrees from the unit interval and show how other valuation structures can be integrated. In each case it is sufficient to specify how the generalized acceptance conditions are represented by formulas, and to specify the information ordering underlying the characteristic ADF operator. We also present complexity results for problems related to weighted ADFs. Weighted Abstract Dialectical Frameworks: Extended and Revised Report

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Legal Tech: How Can Lawyers Benefit?

转载自:http://datameetsmedia.com/legal-tech-how-can-lawyers-benefit/

Pio Calderon


发表于 2018-08-13

 

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Probability and Tennis

转载自:http://datagenetics.com/blog/august12018/index.html

未知


发表于 2018-08-13

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How feminism has made me a better scientist

转载自:https://andrewgelman.com/2018/08/13/feminism-made-better-scientist/

Andrew


发表于 2018-08-13

Feminism is not a branch of science. It is not a set of testable propositions about the observable world, nor is it any single research method. From my own perspective, feminism is a political movement associated with successes such as votes for women, setbacks such as the failed Equal Rights Amendment, and continuing struggles in areas ranging from reproductive freedom to equality in the workplace. Feminism is also a way of looking at the world through awareness of the social and political struggles of women, historically and in the present. And others will define feminism in other ways.

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How feminism has made me a better scientist

转载自:http://andrewgelman.com/2018/08/13/feminism-made-better-scientist/

Andrew


发表于 2018-08-13

Feminism is not a branch of science. It is not a set of testable propositions about the observable world, nor is it any single research method. From my own perspective, feminism is a political movement associated with successes such as votes for women, setbacks such as the failed Equal Rights Amendment, and continuing struggles in areas ranging from reproductive freedom to equality in the workplace. Feminism is also a way of looking at the world through awareness of the social and political struggles of women, historically and in the present. And others will define feminism in other ways.

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Distilled News

转载自:https://advanceddataanalytics.net/2018/08/13/distilled-news-836/

Michael Laux


发表于 2018-08-13

13 Monday Aug 2018

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R Packages worth a look

转载自:https://advanceddataanalytics.net/2018/08/13/r-packages-worth-a-look-1241/

Michael Laux


发表于 2018-08-13

Binary Indexed Tree (rbit)A simple implementation of Binary Indexed Tree by R. The BinaryIndexedTree class supports construction of Binary Indexed Tree from a vector, update of …

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Hierarchical Bayesian Neural Networks with Informative Priors

转载自:https://twiecki.github.io/blog/2018/08/13/hierarchical_bayesian_neural_network/

Thomas Wiecki


发表于 2018-08-13

(c) 2018 by Thomas Wiecki

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Whats new on arXiv

转载自:https://advanceddataanalytics.net/2018/08/14/whats-new-on-arxiv-733/

Michael Laux


发表于 2018-08-13

Overarching Computation Model (OCM)

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