Results 11 to 20 of about 11,879,570 (313)

Bibliography of Sequential Sampling Plans in Insect Pest Management Based on Wald\u27s Sequential Probability Ratio Test [PDF]

open access: yesGreat Lakes Entomologist, 2017
This paper contains 65 references dealing with the development of sequential sampling plans in insect pest management based on Wald\u27s Sequential Probability Ratio Test (SPRT), 25 in forest entomology and 40 in agriculture entomology.
Fowler, Gary W, Lynch, Ann M
core   +3 more sources

Pareto-like sequential sampling heuristic for global optimisation. [PDF]

open access: yesSoft comput, 2021
In this paper, we propose a simple global optimisation algorithm inspired by Pareto’s principle. This algorithm samples most of its solutions within prominent search domains and is equipped with a self-adaptive mechanism to control the dynamic tightening
Shaqfa M, Beyer K.
europepmc   +3 more sources

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling [PDF]

open access: yesACM Conference on Recommender Systems, 2023
A large catalogue size is one of the central challenges in training recommendation models: a large number of items makes them memory and computationally inefficient to compute scores for all items during training, forcing these models to deploy negative ...
A. Petrov, Craig Macdonald
semanticscholar   +1 more source

Biased sequential sampling underlies the effects of time pressure and delay in social decision making. [PDF]

open access: yesNat Commun, 2018
Social decision making involves balancing conflicts between selfishness and pro-sociality. The cognitive processes underlying such decisions are not well understood, with some arguing for a single comparison process, while others argue for dual processes
Chen F, Krajbich I.
europepmc   +2 more sources

A Novel Surrogate Model-Based Solving Framework for the Black-Box Dynamic Co-Design and Optimization Problem in the Dynamic System

open access: yesMathematics, 2022
When encountering the black-box dynamic co-design and optimization (BDCDO) problem in the multidisciplinary dynamic system, the finite difference technique is inefficient or even infeasible to provide approximate numerical gradient information for the ...
Qi Zhang, Yizhong Wu, Li Lu
doaj   +1 more source

Metabolite Fingerprinting for Identification of Panax ginseng Metabolites Using Internal Extractive Electrospray Ionization Mass Spectrometry

open access: yesFoods, 2023
Ginseng, a kind of functional food and medicine with high nutritional value, contains various pharmacological metabolites that influence human metabolic functions.
Xueyan Yuan   +5 more
doaj   +1 more source

The Epistemology of Evolutionary Psychology Offers a Rapprochement to Cultural Psychology

open access: yesFrontiers in Psychology, 2020
Many detractors of evolutionary psychology (EP) presume that adaptive arguments are nothing more than whimsical and unfalsifiable just-so stories. The reality though is that the epistemology of EP is precisely the opposite of this antiquated canard in ...
Gad Saad
doaj   +1 more source

Spatial distribution and fixed precision sequential sampling model of corn leaf aphid, Rhopalosiphum maidis (Hemiptera: Aphididae) in barley fields [PDF]

open access: yesنامه انجمن حشره‌شناسی ایران, 2019
In this research, barley aphids in Mahidasht region of Kermanshah province were identified. Spatial distribution type and statistics for corn leaf aphid, Rhopalosiphum maidis (Fitch) were also studied and sequential sampling models were developed ...
Shahram Shahrokhi Khaneghah   +2 more
doaj   +1 more source

A Novel Sequential Sampling Algorithm for Reliability Assessment of Microgrids

open access: yesIEEE Access, 2020
Due to the polymorphic uncertainties in microgrids (MGs), prohibitive computational burden is produced in reliability assessment. In this work, a novel sequential sampling algorithm (NSSA) compatible with sequential Monte Carlo (SMC) simulation is ...
Xiaotong Song   +3 more
doaj   +1 more source

A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models [PDF]

open access: yesACM Conference on Recommender Systems, 2021
At the present time, sequential item recommendation models are compared by calculating metrics on a small item subset (target set) to speed up computation.
Alexander Dallmann   +2 more
semanticscholar   +1 more source

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