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Top Companies Behind The Midas List Europe 2020

#artificialintelligence

The fourth-annual Midas List Europe, produced by Forbes in partnership with TrueBridge Capital Partners, has arrived, and we're excited to share the top companies that drove the portfolios of this year's top European venture capitalists. The outlook for the European venture market may have been cloudy at the beginning of the global pandemic as recessionary cutbacks loomed and the IPO window narrowed, but European startups and investors have since bounced back. A wide variety of tech-based startups have been able to ride the tailwinds of the crisis, with new areas of everyday life benefitting from the transition to a technology-driven environment. Evidentially, investors remain clear-eyed and eager to invest in growth and innovation on either side of the pond with European VC deal value – and potentially fundraising – on pace to set new annual records. Here are the top ten companies that acted as key drivers behind this year's Midas List Europe: It's been a boom year for Stockholm-based Spotify, which is making its third consecutive appearance as the #1 driver on the Midas List Europe and fourth appearance overall.


On Marginally Correct Approximations of Dempster-Shafer Belief Functions from Data

Kłopotek, Mieczysław A., Wierzchoń, Sławomir T.

arXiv.org Artificial Intelligence

Mathematical Theory of Evidence (MTE), a foundation for reasoning under partial ignorance, is blamed to leave frequencies outside (or aside of) its framework. The seriousness of this accusation is obvious: no experiment may be run to compare the performance of MTE-based models of real world processes against real world data. In this paper we consider this problem from the point of view of conditioning in the MTE. We describe the class of belief functions for which marginal consistency with observed frequencies may be achieved and conditional belief functions are proper belief functions,%\ and deal with implications for (marginal) approximation of general belief functions by this class of belief functions and for inference models in MTE.