Results 231 to 240 of about 3,211,049 (333)

Nonparametric eigenvalue-regularized precision or covariance matrix estimator

, 2016
Clifford Lam
semanticscholar   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)

Evolutionary Computation, 2003
Nikolaus Hansen, Sibylle D. Müller, P. Koumoutsakos   +2 more
semanticscholar   +1 more source

Enabling Stochastic Dynamic Games for Robotic Swarms

Advanced Intelligent Systems, EarlyView.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source

On the Significance of the Quantum Mechanical Covariance Matrix. [PDF]

Entropy (Basel), 2018
Carmi A, Cohen E.
europepmc   +1 more source

Uncovering renewable energy policy impact channels on land values, the local farm structure, and farmland heterogeneity

American Journal of Agricultural Economics, EarlyView.
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt, Stefan Seifert, Saskia Wolff, Tobia Lakes, Marten Graubner, Axel Werwatz, Silke Hüttel   +6 more
wiley   +1 more source

Electrical Impedance Myography Detects Disease Progression over 12 to 24 Months in Facioscapulohumeral Muscular Dystrophy

Annals of Neurology, EarlyView.
Objective Targeted therapies for facioscapulohumeral muscular dystrophy (FSHD) are progressing through clinical trials. Electrical impedance myography (EIM) provides a noninvasive biomarker of muscle composition that may be valuable especially in early phase trials. This study evaluated EIM data from a multicenter FSHD cohort over 24 months.
Karlien Mul, Michael P. McDermott, Russell J. Butterfield, Bakri Elsheikh, Kate Eichinger, Nicholas E. Johnson, Doris G. Leung, Samantha LoRusso, Leann Lewis, William B. Martens, Perry B. Shieh, Leo H. Wang, Michaela Walker, Rabi Tawil, Jeffrey M. Statland, ReSolve Investigators of the FSHD‐CTRN   +15 more
wiley   +1 more source

Multitemporal SAR Image Despeckling Based on a Scattering Covariance Matrix of Image Patch. [PDF]

Sensors (Basel), 2019
Ma X, Wu P.
europepmc   +1 more source

Beyond PEGylation: Archaeal Lipids for Long‐Circulating Liposomes

Advanced NanoBiomed Research, EarlyView.
Archaeal lipid‐based liposomes, particularly those containing caldarchaeol (GDGT), were found to significantly prolong the circulation time of vancomycin in rats, matching the pharmacokinetic properties of PEGylated systems. These findings suggest archaeal lipids as promising non‐PEG excipients for parenteral applications to minimize drug clearance ...
Viktor Sedlmayr, Andreas D. Meid, Eric Mühlberg, Manuel Ben Böhmann, Julian Quehenberger, David Wurm, Mikko Gynther, Oliver Spadiut, Gert Fricker, Philipp Uhl   +9 more
wiley   +1 more source

Fast Statistically Homogeneous Pixel Selection for Covariance Matrix Estimation for Multitemporal InSAR

IEEE Transactions on Geoscience and Remote Sensing, 2015
M. Jiang, X. Ding, R. Hanssen, R. Malhotra, Ling Chang   +4 more
semanticscholar   +1 more source