Results 31 to 40 of about 1,655 (147)

M. E. Grant Duff, Philosophic Liberalism and the Global Liberal Cause

open access: yesHistory, EarlyView.
Abstract Historians disagree about how best to conceptualize nineteenth‐century British Liberalism in relation to its international contexts. This article argues that we can better understand the patterns involved by interrogating individuals who bridged the worlds of partisan politics and elaborated thought.
Alex Middleton
wiley   +1 more source

Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms [PDF]

open access: yes, 2014
Kuznetsov independence of variables X and Y means that, for any pair of bounded functions f(X)f(X) and g(Y)g(Y), E[f(X)g(Y)]=E[f(X)]⊠E[g(Y)]E[f(X)g(Y)]=E[f(X)]⊠E[g(Y)], where E[⋅]E[⋅] denotes interval-valued expectation and ⊠ denotes interval ...
Cozman, Fabio G., de Campos, Cassio P.
core   +1 more source

Legitimation and Trust Strategies for Sustainability in and for Global Sport Events: The Case of the ‘Climate Positive’ Brisbane 2032 Olympics

open access: yesBusiness Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT International sport governing bodies are increasingly under scrutiny due to their questionable environmental sustainability records of global sport events, thereby facing a potential legitimacy gap and loss of trust that the proclaimed sustainability goals can be achieved.
David M. Herold   +3 more
wiley   +1 more source

Epistemic irrelevance in credal networks : the case of imprecise Markov trees [PDF]

open access: yes, 2009
We replace strong independence in credal networks with the weaker notion of epistemic irrelevance. Focusing on directed trees, we show how to combine local credal sets into a global model, and we use this to construct and justify an exact message-passing
Antonucci, Alessandro   +3 more
core   +1 more source

Decision-support methodology to assess risk in end-of-life management of complex systems [PDF]

open access: yes, 2016
End-of-life management of complex systems is increasingly important for industry because of growing environmental concerns and associated regulations. In many areas, lack of hindsight and significant statistical information restricts the efficiency of ...
Béler, Cédrick   +4 more
core   +5 more sources

From rhetoric to measurement: The economics of wetland conservation

open access: yesCanadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, EarlyView.
Abstract Wetland conservation continues to be a pressing issue as wetlands continue to be lost due to urban, industrial, and agricultural expansion. This paper synthesizes the current knowledge about wetland conservation economics in Canada, with a focus on prairie landscapes. We review the methods economists use to empirically measure the costs (i.e.,
Patrick Lloyd‐Smith   +2 more
wiley   +1 more source

Credal Sum-Product Networks

open access: yes, 2017
Sum-product networks are a relatively new and increasingly popular class of (precise) probabilistic graphical models that allow for marginal inference with polynomial effort. As with other probabilistic models, sum-product networks are often learned from data and used to perform classification.
Maua, Denis Deratani   +3 more
openaire   +4 more sources

Representativeness of the Natura 2000 network for preserving plant biodiversity in the European Union

open access: yesConservation Biology, EarlyView.
Abstract The Natura 2000 (N2K) network of protected areas is one of the main tools for area‐based conservation in the European Union (EU), yet its role in preserving plant biodiversity requires better understanding. We examined data kept in the European Vegetation Archive from over 1.2 million vegetation plots and obtained over 14.2 million plant ...
Michele Di Musciano   +41 more
wiley   +1 more source

Credal networks under epistemic irrelevance using sets of desirable gambles [PDF]

open access: yes, 2013
We present a new approach to credal networks, which are graphical models that generalise Bayesian nets to deal with imprecise probabilities. Instead of applying the commonly used notion of strong independence, we replace it by the weaker notion of ...
De Bock, Jasper, De Cooman, Gert
core  

Modeling Unreliable Observations in Bayesian Networks by Credal Networks [PDF]

open access: yes, 2009
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs about a variable of interest in the network after the observation of some other variables. This is usually achieved under the assumption that the observations could reveal the
Alessandro Antonucci, Alberto Piatti
openaire   +1 more source

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