Results 61 to 70 of about 17,970 (186)
Matrix completion by singular value thresholding: sharp bounds
We consider the matrix completion problem where the aim is to esti-mate a large data matrix for which only a relatively small random subset of its entries is observed.
Klopp, Olga
core +2 more sources
Minimax Group Fairness in Strategic Classification
In strategic classification, agents manipulate their features, at a cost, to receive a positive classification outcome from the learner's classifier. The goal of the learner in such settings is to learn a classifier that is robust to strategic manipulations.
Diana, Emily +2 more
openaire +2 more sources
An Improved Bayesian Pick‐the‐Winner (IBPW) Design for Randomized Phase II Clinical Trials
ABSTRACT Phase II clinical trials play a pivotal role in drug development by screening a large number of drug candidates to identify those with promising preliminary efficacy for phase III testing. Trial designs that enable efficient decision‐making with small sample sizes and early futility stopping while controlling for type I and type II errors in ...
Wanni Lei +3 more
wiley +1 more source
A Note on the Minimax Solution for the Two-Stage Group Testing Problem [PDF]
Group testing is an active area of current research and has important applications in medicine, biotechnology, genetics, and product testing. There have been recent advances in design and estimation, but the simple Dorfman procedure introduced by R. Dorfman in 1943 is widely used in practice.
Malinovsky, Yaakov, Albert, Paul S.
openaire +3 more sources
Fast Gradient‐Based Algorithm for Doppler‐Tolerant Radar Waveform Design
This work proposes an efficient algorithm for Doppler‐tolerant radar waveform design using dynamic weighting and automatic differentiation. Achieves 1 dB lower peak sidelobe level with 8 times faster computation compared to existing methods, while scaling efficiently to longer code lengths.
Jiahui Cao +5 more
wiley +1 more source
The GJMS operators in geometry, analysis and physics
Abstract The GJMS operators, introduced by Graham, Jenne, Mason and Sparling, are a family of conformally invariant linear differential operators with leading term a power of the Laplacian. These operators and their method of construction have had a major impact in geometry, analysis and physics.
Jeffrey S. Case, A. Rod Gover
wiley +1 more source
Cofiniteness of weakly Laskerian local cohomology modules [PDF]
Let $I$ be an ideal of a Noetherian ring R and M be a finitely generated R-module. We introduce the class of extension modules of finitely generated modules by the class of all modules $T$ with $\dim T\leq n$ and we show it by ${\rm FD_{\leq n}}$ where ...
Dedicated To +3 more
core
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
wiley +1 more source
Extreme outage prediction in power systems using a new deep generative Informer model
Extreme weather events have made growing concerns over electric power grid infrastructure as well as the residents living in disaster areas. Moreover, the potential damages due to the extreme events can make serious challenges for supply reliability and ...
Razieh Rastgoo +4 more
doaj +1 more source
This review outlines the implementation of digital twin frameworks for solid oxide electrochemical cells (SOCs), encompassing 3D microstructure reconstruction, quantitative morphological analysis, and microstructure‐resolved multiphysics modeling. Emphasis is placed on recent advances that position digital twins as powerful tools for microstructure ...
Seungsoo Jang +9 more
wiley +1 more source

