1,246 results for measures (0.096 seconds)

arxiv.org/abs/2102.05912v5

On Transportation of Mini-batches: A Hierarchical Approach

Mini-batch optimal transport (m-OT) has been successfully used in practical applications that involve probability measures with a very high number of supports. The m-OT solves several smaller optimal transport problems and then returns the average of...

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arxiv.org/abs/0902.2183v2

A principal component analysis of 39 scientific impact measures

The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact...

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arxiv.org/abs/1901.10924v4

Is the mailing Gilbert-Steiner problem convex?

A convexification of the mailing version of the finite Gilbert problem for optimal networks is introduced. It is ia convex functional on the set of probability measures subject to the Wasserstein $p-$ metric. The minimizer of this convex functional i...

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github.com/Prooffreader/election_2016_data

Prooffreader/election_2016_data

Scraped data from the 2016 U.S. Election (President, Senate, House, Governor) and primaries, ballot measures and exit polls (⭐ 116)

arxiv.org/abs/2307.02422v2

Wishful Thinking is Risky Thinking

We develop a model of wishful thinking that incorporates the costs and benefits of biased beliefs. We establish the connection between distorted beliefs and risk, revealing how wishful thinking can be understood in terms of risk measures. Our model a...

arxiv.org/abs/1407.7528v1

The Calibration of the WISE W1 and W2 Tully-Fisher Relation

In order to explore local large-scale structures and velocity fields, accurate galaxy distance measures are needed. We now extend the well-tested recipe for calibrating the correlation between galaxy rotation rates and luminosities -- capable of prov...

arxiv.org/abs/1401.1451v1

Smart Grid Demand Monitoring Model

This paper is in related to the demand genrated by the consumer for a time for the power which is being viewed by taking some measures to solve the demand need....

arxiv.org/abs/1208.1981v3

General notions of depth for functional data

A data depth measures the centrality of a point with respect to an empirical distribution. Postulates are formulated, which a depth for functional data should satisfy, and a general approach is proposed to construct multivariate data depths in Banach...

arxiv.org/abs/1907.08968v2

Infant Mortality Prediction using Birth Certificate Data

The Infant Mortality Rate (IMR) is the number of infants per 1000 that do not survive until their first birthday. It is an important metric providing information about infant health but it also measures the society's general health status. Despite th...