Results 41 to 50 of about 54,704 (250)
EntropyIn any Bayesian computations, the first step is to derive the joint distribution of all the unknown variables given the observed data. Then, we have to do the computations.
Seyedeh Azadeh Fallah Mortezanejad +1 more
doaj +1 more source
A method for assessing land-use impacts on biodiversity in a landscape
Global Ecology and Conservation, 2015 Models that estimate land-use impacts on biodiversity at multiple spatial scales in human modified landscapes are the backbone of conservation planning.
Kwame Oppong Hackman
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Advanced Materials, EarlyView.ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
adabag: An R Package for Classification with Boosting and Bagging
Journal of Statistical Software, 2013 Boosting and bagging are two widely used ensemble methods for classification. Their common goal is to improve the accuracy of a classifier combining single classifiers which are slightly better than random guessing.
Esteban Alfaro +2 more
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Reproducibility and Natural Exponential Families with Power Variance Functions
The Annals of Statistics, 1986 Let \(X_ 1\),..., \(X_ n\) be independent identically distributed random variables whose common distribution belongs to a family \({\mathcal F}=\{F_{\theta}\in \Theta \subset {\mathbb{R}}\}\) indexed by a parameter \(\theta\). We say that \({\mathcal F}\) is reproducible if there exists a sequence \(\{\) \(\alpha\) (n)\(\}\) such that \[ {\mathcal L ...
Bar-Lev, Shaul K., Enis, Peter
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Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Nonparametric regression in natural exponential families
, 2010 Theory and methodology for nonparametric regression have been particularly well developed in the case of additive homoscedastic Gaussian noise. Inspired by asymptotic equivalence theory, there have been ongoing efforts in recent years to construct explicit procedures that turn other function estimation problems into a standard nonparametric regression ...
Cai, T. Toni, Zhou, Harrison H.
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Gravitational shock waves and scattering amplitudes
Journal of High Energy Physics, 2020 We study gravitational shock waves using scattering amplitude techniques. After first reviewing the derivation in General Relativity as an ultrarelativistic boost of a Schwarzschild solution, we provide an alternative derivation by exploiting a novel ...
Andrea Cristofoli
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Advanced Materials, EarlyView.Magnetic particles are organized into layered architectures by combining shear flow and magnetic fields, with the resulting structures governed by appropriate Mason numbers. The programmed assemblies provide spatial guidance for cell placement, linking field‐controlled self‐assembly, flow‐induced structuring and biological organization.
Guillermo Camacho +5 more
wiley +1 more source