Results 51 to 60 of about 142,210 (310)
Conditional density approximations with mixtures of polynomials [PDF]
Int. J. Intell. Syst., 2014 Mixtures of polynomials (MoPs) are a non-parametric density estimation technique especially designed for hybrid Bayesian networks with continuous and discrete variables. Algorithms to learn one- and multi-dimensional (marginal) MoPs from data have recently been proposed.
Gherardo Varando +4 more
openaire +2 more sources
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
The exponentiated half logistic skew-t distribution with GARCH-type volatility models
Scientific African, 2022 Most financial time series have non-normal features such as heavy tails, excess kurtosis and skewness. Financial asset returns volatility is also a significant measure in financial decisions, option pricing, risk management, and portfolio selection, so ...
O.D. Adubisi +3 more
doaj +1 more source
Koopmans’ condition for density-functional theory [PDF]
Physical Review B, 2010 In approximate Kohn-Sham density-functional theory, self-interaction manifests itself as the dependence of the energy of an orbital on its fractional occupation. This unphysical behavior translates into qualitative and quantitative errors that pervade many fundamental aspects of density-functional predictions. Here, we first examine self-interaction in
Dabo I. +5 more
openaire +4 more sources
Advanced Functional Materials, EarlyView.Diagnostic analysis via the heterojunction validation funnel. The funnel illustrates the hierarchical stratification of 30 reported Type‐II systems based on the three‐phase, seven‐step diagnostic framework. Complete validation through all phases is achieved by only 3.3% of systems, while 96.7% lack full mechanistic validation, revealing a pervasive ...
Ki‐Hyun Kim
wiley +1 more source
Decomposing Bivariate Symmetric Density Function into Three Symmetric Structures. [PDF]
The Egyptian Statistical Journal, 1997 Tomizawa, Seo and Minaguchi (1996) gave a decomposition of bivariate symmetric density function. This note gives another decomposition. It is shown that the density function is symmetric if and only if it is quasi-symmetric, conditional marginal ...
Sadao Tomizawa, Tomono Konuma
doaj +1 more source
Advanced Materials, EarlyView.This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
Entropy, 2021 In theoretical biology, we are often interested in random dynamical systems—like the brain—that appear to model their environments. This can be formalized by appealing to the existence of a (possibly non-equilibrium) steady state, whose density preserves
Thomas Parr +4 more
doaj +1 more source
Conditional stochastic dominance tests in dynamic settings [PDF]
, 2014 This paper proposes nonparametric consistent tests of conditional stochastic dominance of arbitrary order in a dynamic setting. The novelty of these tests lies in the nonparametric manner of incorporating the information set.
Jose Olmo +5 more
core +1 more source
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