Results 161 to 170 of about 30,679 (211)

Deep Ensemble Learning for Application Traffic Classification Using Differential Model Selection Technique. [PDF]

Sensors (Basel)
Baek UJ, Jang YS, Kim JS, Choi YS, Kim MS.   +4 more
europepmc   +1 more source

Two-Step Estimation Procedure for Parametric Copula-Based Regression Models for Semi-Competing Risks Data. [PDF]

Entropy (Basel)
Zhang Q, Duan B, Wojtyś M, Wei Y.
europepmc   +1 more source

Scalable watermarking for identifying large language model outputs. [PDF]

Nature
Dathathri S, See A, Ghaisas S, Huang PS, McAdam R, Welbl J, Bachani V, Kaskasoli A, Stanforth R, Matejovicova T, Hayes J, Vyas N, Merey MA, Brown-Cohen J, Bunel R, Balle B, Cemgil T, Ahmed Z, Stacpoole K, Shumailov I, Baetu C, Gowal S, Hassabis D, Kohli P.   +23 more
europepmc   +1 more source

Hierarchical Bayesian Modelling of Interoceptive Psychophysics

Courtin AS, Ehmsen JF, Banellis L, Fardo F, Allen MG.   +4 more
europepmc   +1 more source

Discrete Representation Learning for Multivariate Time Series. [PDF]

Proc Eur Signal Process Conf EUSIPCO
Ajirak M, Elbau I, Solomonov N, Grosenick L.   +3 more
europepmc   +1 more source

Spatial and temporal patterns of urban air pollution in tehran with a focus on PM_2.5 and associated pollutants. [PDF]

Sci Rep
Abbasi MT, Alesheikh AA, Jafari A, Lotfata A.   +3 more
europepmc   +1 more source

A Revised Bimodal Generalized Extreme Value Distribution: Theory and Climate Data Application. [PDF]

Entropy (Basel)
Otiniano CEG, Lisboa MNS, Ribeiro TKA.
europepmc   +1 more source

Covering One Point Process with Another. [PDF]

Methodol Comput Appl Probab
Higgs F, Penrose MD, Yang X.
europepmc   +1 more source

Modelling Discrete States and Long-Term Dynamics in Functional Brain Networks

Cho S, Huang R, Gohil C, Jones OP, Woolrich MW.   +4 more
europepmc   +1 more source

The beta Gumbel distribution [PDF]

Mathematical Problems in Engineering, 2004
The Gumbel distribution is perhaps the most widely applied statistical distribution for problems in engineering. In this paper, we introduce a generalization—referred to as the beta Gumbel distribution—generated from the logit of a beta random variable. We provide a comprehensive treatment of the mathematical properties of this new distribution.
Saralees Nadarajah
exaly   +4 more sources