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pro vyhledávání: '"Jahedpari, Fatemeh"'
Autor:
Jahedpari, Fatemeh
The main goal of syndromic surveillance systems is early detection of an outbreak in a society using available data sources. In this paper, we discuss what are the challenges of syndromic surveillance systems and how continuous Artificial Prediction
Externí odkaz:
http://arxiv.org/abs/2009.00394
Autor:
Jahedpari, Fatemeh
In this dissertation, we propose an online machine learning technique – named Artificial Continuous Prediction Market (ACPM) – to predict the value of a continuous variable by (i) integrating a set of data streams from heterogeneous sources with
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.690730
We propose the Artificial Continuous Prediction Market (ACPM) as a means to predict a continuous real value, by integrating a range of data sources and aggregating the results of different machine learning (ML) algorithms. ACPM adapts the concept of
Externí odkaz:
http://arxiv.org/abs/1508.02681
Akademický článek
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