Results 61 to 70 of about 26,596 (173)
Is A Little Learning Dangerous?
ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley +1 more source
Abstract figure legend We have developed a computational model of energy metabolism in fast‐twitch oxidative glycolytic muscle fibres. The model considers thermodynamically constrained enzyme kinetics derived from in vitro data and was validated against in vivo data from phosphorus magnetic resonance spectroscopy.
Jana Disch +4 more
wiley +1 more source
The Ontology of Haag's Local Quantum Physics. [PDF]
Jaeger G.
europepmc +1 more source
Isoperimetric inequalities on slabs with applications to cubes and Gaussian slabs
Abstract We study isoperimetric inequalities on “slabs”, namely weighted Riemannian manifolds obtained as the product of the uniform measure on a finite length interval with a codimension‐one base. As our two main applications, we consider the case when the base is the flat torus R2/2Z2$\mathbb {R}^2 / 2 \mathbb {Z}^2$ and the standard Gaussian measure
Emanuel Milman
wiley +1 more source
ABSTRACT This paper presents a robust control synthesis and analysis framework for nonlinear systems with uncertain initial conditions. First, a deep learning‐based lifting approach is proposed to approximate nonlinear dynamical systems with linear parameter‐varying (LPV) state‐space models in higher‐dimensional spaces while simultaneously ...
Sourav Sinha, Mazen Farhood
wiley +1 more source
Equivariant toric geometry and Euler–Maclaurin formulae
Abstract We first investigate torus‐equivariant motivic characteristic classes of toric varieties, and then apply them via the equivariant Riemann–Roch formalism to prove very general Euler–Maclaurin‐type formulae for full‐dimensional simple lattice polytopes.
Sylvain E. Cappell +3 more
wiley +1 more source
Exploring Imprecise Probabilities in Quantum Algorithms with Possibility Theory
ABSTRACT Quantum computing utilizes the underlying principles of quantum mechanics to perform computations with unmatched performance capabilities. Rather than using classical bits, it operates on qubits, which can exist in superposition and entangled states. This enables the solution of problems that are considered intractable for classical computers.
Jan Schneider +2 more
wiley +1 more source
Model‐Free Local Partial Correlation
ABSTRACT In the simple linear regression context, partial correlation measures the linear association between two variables, with the linear effects of a third control variable removed. In this paper, we investigate the local partial correlation using a kernel smoothing approach.
Li‐Shan Huang +2 more
wiley +1 more source
Cointegrating Polynomial Regressions With Power Law Trends
ABSTRACT The common practice in cointegrating polynomial regressions (CPRs) often confines nonlinearities in the variable of interest to stochastic trends, thereby overlooking the possibility that they may be caused by deterministic components. As an extension, we propose univariate and multivariate CPRs that incorporate power law deterministic trends.
Yicong Lin, Hanno Reuvers
wiley +1 more source
On the Modeling of Irreversibility by Relaxator Liouville Dynamics
A general approach to modeling irreversibility starting from microscopic reversibility is presented. A relaxator that breaks reversibility condenses in the Liouville operator of the relevant degrees of freedom. The irreversible relaxator Liouville equation contains memory effects and initial correlations of all degrees of freedom. Stationary states are
János Hajdu, Martin Janßen
wiley +1 more source

