Results 151 to 160 of about 31,021 (266)

Laboratory Games and Quantum Behaviour: The Normal Form with a Separable State Space [PDF]

open access: yes
The subjective expected utility (SEU) criterion is formulated for a particular four-person “laboratory game” that a Bayesian rational decision maker plays with Nature, Chance, and an Experimenter who influences what quantum behaviour is observable by ...
Hammond, Peter J
core  

Basis Networks: Learning basis functions for free‐form triangulations

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley   +1 more source

Variable species establishment in response to microhabitat indicates different likelihoods of climate‐driven range shifts

open access: yesEcography, EarlyView.
Climate change is causing geographic range shifts globally, and understanding the factors that influence species' range expansions is crucial for predicting future biodiversity changes. A common, yet untested, assumption in forecasting approaches is that species will shift beyond current range edges into new habitats as they become macroclimatically ...
Nathalie Isabelle Chardon   +5 more
wiley   +1 more source

Observers seeing gravitational Hilbert spaces: abstract sources for an abstract path integral

open access: yesJournal of High Energy Physics
The gravitational path integral suggests a striking result: the Hilbert space of closed universes in each superselection sector, a so-called α-sector, is one-dimensional.
Hong Zhe Vincent Chen
doaj   +1 more source

Hilbert-type inequalities for Hilbert space operators

open access: yes, 2013
In this paper we establish a general form of the Hilbert inequality for positive invertible operators on a Hilbert space. Special emphasis is given to such inequalities with homogeneous kernels.
Krnic, Mario
core  

On Metric Choice in Dimension Reduction for Fréchet Regression

open access: yesInternational Statistical Review, EarlyView.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale   +3 more
wiley   +1 more source

Joining Decision‐Making, Moral Thinking, and Collective Action: Grand Challenges as a Phenomenology of Deliberation

open access: yesJournal of Management Studies, EarlyView.
Abstract This conceptual article argues that the mutual relevance of grand challenges and organization and management studies is best approached phenomenologically. Rather than constituting objects to be theorized or denoting special empirical contexts, grand challenges structure researchers’ attention and shape their interpretations of the processes ...
Alfredo Grattarola   +2 more
wiley   +1 more source

Some Properties of Hilbert Space

open access: yes, 1960
This thesis is a study of fundamental properties of Hilbert space, properties of linear manifold, and realizations of Hilbert ...
Parker, Donald Earl
core  

The Potential of Ensemble‐Based Automated Sleep Staging on Single‐Channel EEG Signal From a Wearable Device

open access: yesJournal of Sleep Research, EarlyView.
ABSTRACT Machine‐learning‐based sleep staging models have achieved expert‐level performance on standard polysomnographic (PSG) data. However, their application to EEG recorded by wearable devices remains limited by non‐conventional referencing montage and the lack of benchmarking against PSG.
Federico Salfi   +6 more
wiley   +1 more source

Adaptive Estimation for Weakly Dependent Functional Times Series

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro   +2 more
wiley   +1 more source

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