Data-driven attribution is the default attribution model in Google Ads. Understand how and why to use it in your Google Ads campaign.

The post Using Google Ads’ Data-Driven Attribution Model appeared first on Portent.

Full article available at: http://dx.doi.org/10.1186/1471-2105-12-S15-S1 

It is now possible to estimate the influence of climate change on some types of extreme events, such as heat waves, drought, and heavy precipitation, says a new report from the National Academies of Sciences, Engineering, and Medicine.

Attributing a cyberattack to a specific threat actor is a complex affair, as evidenced by new ESET research published this week

Attribution refers to the cognitive process that people use to find reason for either their own behavior or that of others.

(Before going on, please read the last sentence of the P.P.S. below to put this post in context.) Blake McShane points us to this 1977 article, “Frequentist Probability and Frequentist Statistics,” by Jerzy Neyman, the statistician who made fundamental contributions … Continue reading →

It is now possible to estimate the influence of climate change on some types of extreme events, such as heat waves, drought, and heavy precipitation, says a new report from the National Academies of Sciences, Engineering, and Medicine.

Attribution methods provide insights into the decision-making of machine learning models like artificial neural networks. For a given input sample, they assign a relevance score to each individual input variable, such as the pixels of an image. In this work we adapt the information bottleneck concept for attribution. By adding noise to intermediate feature maps we restrict the flow of information and can quantify (in bits) how much information image regions provide. We compare our method against ten baselines using three different metrics on VGG-16 and ResNet-50, and find that our methods outperform all baselines in five out of six settings. The method's information-theoretic foundation provides an absolute frame of reference for attribution values (bits) and a guarantee that regions scored close to zero are not necessary for the network's decision. For reviews: https://openreview.net/forum?id=S1xWh1rYwB For code: https://github.com/BioroboticsLab/IBA

Excitement levels are high for the March 2020 release of SAS Customer Intelligence 360, which includes multiple years of research and development culminating in enhancements to the platform's underlying data model. The changes will introduce the unification of a comprehensive data model recording both: Customer behavior -- what users are [...]

SAS Customer Intelligence 360: Unified data model, marketing attribution and AutoML was published on Customer Intelligence Blog.

Public comments are invited on discussion drafts on "Attribution of Profits to Permanent Establishments" which deals with work in relation to BEPS Action 7 and on the "Revised Guidance on Profit Splits" which deals with work in related to BEPS Actions 8-10 of the OECD/G20 BEPS Action Plan.

Public comments have been received on the BEPS discussion drafts on the Attribution of Profits to Permanent Establishments and the Revised Guidance on Profit Splits.

Public comments are invited on two discussion drafts: Attribution of Profits to Permanent Establishments, which deals with work in relation to Action 7 of the BEPS Action Plan and the Revised Guidance on Profit Splits, which deals with work in relation to Actions 8-10 of the BEPS Action Plan.

The OECD is publishing the comments received on a discussion draft on the Attribution of Profits to Permanent Establishments (BEPS Action 7) and on a second discussion draft on the Revised Guidance on Profit Splits (BEPS Actions 8-10).

The additional guidance resulting sets out high-level general principles, which countries agree are relevant and applicable in attributing profits to PEs in accordance with applicable treaty provisions. It also provides examples on the attribution of profits to certain types of PEs arising from the changes to the PE definition under BEPS Action 7.