Results 101 to 110 of about 92,931 (223)
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 +5 more
wiley +1 more source
Ordinal pattern-based change point detection. [PDF]
Test (Madr)Betken A, Micali G, Schmidt-Hieber J.
europepmc +1 more source
The convergence of moments in the martingale central limit theorem
, 1978 P. Hall
semanticscholar +1 more source
The power of many: when genetics met yeasts and high‐throughput
Biological Reviews, EarlyView.ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
wiley +1 more source
Robust Distributed High-Dimensional Regression: A Convoluted Rank Approach. [PDF]
Entropy (Basel)Wu M.
europepmc +1 more source
Advances in Triboelectric Nanogenerators With Rotating Structure
Carbon Energy, EarlyView.The rotating TENG has been widely studied for its superiorities of simple structure, high efficiency, and stable output. This review introduced the four different principles of rotating TENG and offered a thorough summary for performance and application research through three‐level classification. Importantly, the current existing problems, challenges,
Chuguo Zhang +4 more
wiley +1 more source
A meta-interactive neural network for solving time-varying quadratic programming problems. [PDF]
Nat CommunZhang Z, Sun X, Liu Y, Luo Y.
europepmc +1 more source
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source