Results 91 to 100 of about 48,781 (279)

Precise asymptotics in Chung’s law of the iterated logarithm

open access: yesActa Mathematica Sinica, English Series, 2008
This paper gives sufficent and necessary conditions on a kind of limit results to hold on the precise convergent rate of an infinite series of probabilities on the Chung type law of the iterated logarithm.
openaire   +3 more sources

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko   +3 more
wiley   +1 more source

Feynman-Kac formula for Levy processes and semiclassical (Euclidean) momentum representation [PDF]

open access: yes, 2013
We prove a version of the Feynman-Kac formula for Levy processes and integro-differential operators, with application to the momentum representation of suitable quantum (Euclidean) systems whose Hamiltonians involve L\'{e}vy-type potentials.
Privault, Nicolas   +2 more
core  

Do Tax Incentives for Farmland Leases Increase Farm Supply? Evidence From Iowa's Beginning Farmer Tax Credit

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT In recent decades, agriculture has become increasingly concentrated through horizontal mergers and acquisitions via corporate entities, and policy makers are concerned this will be exacerbated by the aging population of farm operators. To reduce market concentration in agriculture, many states have enacted policies to entice new prospective ...
Justin M. Ross   +2 more
wiley   +1 more source

Small-variance asymptotics for Bayesian neural networks [PDF]

open access: yes, 2018
Bayesian neural networks (BNNs) are a rich and flexible class of models that have several advantages over standard feedforward networks, but are typically expensive to train on large-scale data.
Sankarapandian, Sivaramakrishnan
core  

Consumer Acceptance of New Sustainable Food Technologies: Upcycling Technology, Biostimulants, and Artificial Intelligence

open access: yesAgribusiness, EarlyView.
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Precise asymptotics : a general approach

open access: yes, 2011
The legendary 1947-paper by Hsu and Robbins, in which the authors introduced the concept of \complete convergence", generated a series of papers culminating in the like-wise famous Baum-Katz 1965-theorem, which provided necessary and su_cient conditions for the convergence of the series P1 n=1 nr=p2P(jSnj _ "n1=p) for suitable values of r and p, in ...
Gut, Allan, Steinebach, Josef
openaire   +1 more source

Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers

open access: yes, 2020
The problem of learning one task using samples from another task is central to transfer learning. In this paper, we focus on answering the following question: when does combining the samples from two related tasks perform better than learning with one target task alone?
Yang, Fan   +4 more
openaire   +2 more sources

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

open access: yesAdvanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows   +7 more
wiley   +1 more source

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