Results 91 to 100 of about 77,553 (343)

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

IEEE Access, 2019
The emergence of DNA Microarray technology has enabled researchers to analyze the expression level of thousands of genes simultaneously. The Microarray data analysis is the process of finding the most informative genes as well as remove redundant and ...
Nada Almugren, Hala Alshamlan
doaj   +1 more source

Talk 1: Convolutional neural networks against the curse of dimensionality [PDF]

, 2016
Convolutional Neural Networks are a powerful class of non-linear representations that have shown through numerous supervised learning tasks their ability to extract rich information from images, speech and text, with excellent statistical generalization.
Bruna, Joan
core  

Shaping research in marine functional connectivity for integrated and effective marine science and management

Biological Reviews, EarlyView.
ABSTRACT Effective knowledge of ecological connectivity at sea and at the land–sea interface is key to supporting global policy goals to conserve and restore ocean biodiversity and function. However, a persistent lack of commonality in terminology and understanding around the concept of connectivity in marine ecological studies hampers its integration ...
Audrey M. Darnaude, Susanne E. Tanner, Andreu Blanco, Anna M. Sturrock, Yael Teff Seker, Angel Pérez‐Ruzafa, Jonne Kotta, Tamar Guy‐Haim, Francisco R. Barboza, Manuel Hidalgo, Katell Guizien, Jerneja Penca, Lucía López‐López, Maria Beger, Federica Costantini, Sophie Arnaud‐Haond, Cynthia Riginos, Kris Hostens, Gil Rilov, Stelios Katsanevakis, Ewan Hunter   +20 more
wiley   +1 more source

Renal Arterial Anatomy: Implications for Normothermic Machine Perfusion in Renal Transplantation

Clinical Anatomy, EarlyView.
ABSTRACT Normothermic machine perfusion (NMP) is a novel technology that has shown potential in viability assessment and reconditioning of donor organs. Normothermic machine perfusion is technically more challenging in kidneys with multiple renal arteries (RAs).
Lily Mae Miller, Peter Douglas, Julie Glen, Emma Aitken   +3 more
wiley   +1 more source

Rank‐based estimation of propensity score weights via subclassification

Canadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang, Yuexia Zhang, Thomas S. Richardson, Xiaohua Zhou   +3 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

High-Dimensional Numerical Methods for Nonlocal Models

Mathematics
Nonlocal models offer a unified framework for describing long-range spatial interactions and temporal memory effects. The review briefly outlines several representative physical problems, including anomalous diffusion, material fracture, viscoelastic ...
Yujing Jia, Dongbo Wang, Xu Guo
doaj   +1 more source

Identification of novel genes regulating the development of the palate

Developmental Dynamics, EarlyView.
Abstract Background The International Mouse Phenotyping Consortium (IMPC) has generated thousands of knockout mouse lines, many of which exhibit embryonic or perinatal lethality. Using micro‐computed tomography (micro‐CT), the IMPC has created and publicly released three‐dimensional image data sets of embryos from these lethal and subviable lines.
Ashwin Bhaskar, Sophie Astrof
wiley   +1 more source

Advances in Feature Selection with Mutual Information

, 2009
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data.
A. Kraskov, C. Borggaard, C. Krier, D. François, D. François, D. Scott, F. Rossi, L.F. Kozachenko, M.N. Goria, T. Cover   +9 more
core   +2 more sources