Results 281 to 290 of about 5,375,555 (321)

Convective stability of the critical waves of an FKPP-type model for self-organized growth. [PDF]

J Math Biol
Kreten F.
europepmc   +1 more source

Multistability and predominant hybrid phenotypes in a four node mutually repressive network of Th1/Th2/Th17/Treg differentiation. [PDF]

NPJ Syst Biol Appl
Duddu AS, Andreas E, Bv H, Grover K, Singh VR, Hari K, Jhunjhunwala S, Cummins B, Gedeon T, Jolly MK.   +9 more
europepmc   +1 more source

"Do You Hear What I Hear?" Speech and Voice Alterations in Hearing Loss: A Systematic Review. [PDF]

J Clin Med
Di Stadio A, Sossamon J, De Luca P, Indovina I, Motta G, Ralli M, Brenner MJ, Frohman EM, Plant GT.   +8 more
europepmc   +1 more source

Meaningful Communication but not Superficial Anthropomorphism Facilitates Human-Automation Trust Calibration: The Human-Automation Trust Expectation Model (HATEM). [PDF]

Hum Factors
Carter OBJ, Loft S, Visser TAW.
europepmc   +1 more source

Estimating treatment effects in trials with outcome data truncated by death: A case study on aligning estimators with estimands. [PDF]

Clin Trials
Pham TM, Kahan BC, Lopes A, Rashid M, Hoskin PJ, White IR.   +5 more
europepmc   +1 more source

Integrating artificial intelligence with kinetic studies for Cr(vi) removal using young durian fruit biochar: a random forest regressor approach. [PDF]

RSC Adv
Nguyen DK, Nguyen QT, Dinh VP.
europepmc   +1 more source

A characterization of n-player strongly monotone scheduling mechanisms

, 2015
Annamária Kovács, Angelina Vidali
openalex   +1 more source

Numerical homogenization for nonlinear strongly monotone problems

IMA Journal of Numerical Analysis, 2020
In this work we introduce and analyse a new multiscale method for strongly nonlinear monotone equations in the spirit of the localized orthogonal decomposition.
B. Verfürth
semanticscholar   +3 more sources

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Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback

Operational Research, 2023
Feasible Online Learning with Gradient Feedback Online gradient descent (OGD) is well-known to be doubly optimal under strong convexity or monotonicity assumptions: (1) in the single-agent setting, it achieves an optimal regret of [Formula: see text] for
Michael I. Jordan, Tianyi Lin, Zhengyuan Zhou   +2 more
semanticscholar   +1 more source