Results 61 to 70 of about 444,422 (231)

Detection of Application layer DDoS Attacks Based on Bayesian Classifier [PDF]

open access: yesAssiut University Journal of Multidisciplinary Scientific Research, 2019
One of the major challenges in networks security is detecting network attacks. The HTTP flooding attack is the most common type of DDoS attacks that targets application layer.
doaj   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés   +2 more
wiley   +1 more source

The Sky Has Its Limits in COVID-19 Testing

open access: yesRambam Maimonides Medical Journal, 2020
At the time of writing, in July 2020, the COVID-19 pandemic has already inflicted dramatic international restrictions, including airports closing and limiting international travel. It has been suggested that re-opening of airports should involve and even
Shai Lin, Shay Tzafrir, Shay Gueron
doaj   +1 more source

A simple linear bayes' credibility insurance model

open access: yes, 1997
In the minds of most statisticians there are (at least) two mutually exclusive approaches to data analysis. The "classical" or "frequentist" theory consist s of confidence intervals and hypothesis tests.
Abaza, Abmed A. Kambawey
core  

Information Design for Early‐Stage Dose‐Finding Trials

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT To enhance enrollment rates in early‐stage dose‐finding clinical trials, we propose an information design approach, where the clinical investigator (CI) commits to an information releasing mechanism (IRM) based on the treatment's uncertain efficacy and toxicity to encourage patients to participate in the trial.
Amin Khademi, Ningyuan Chen
wiley   +1 more source

An application of Bayes’ theorem to a problem of Cultural astronomy interest [PDF]

open access: yesCultural Heritage and Modern Technologies
In this paper, an elliptical enclosure, found at Piani d’Avaro (Bergamo Province, Lombardy, Northern Italy) was examined from an astronomical point of view.
Adriano Gaspani, Stefano Spagocci
doaj   +1 more source

The Bernstein-Von Mises Theorem in Semiparametric Competing Risks Models [PDF]

open access: yes
Semiparametric Bayesian models are nowadays a popular tool in survival analysis. An important area of research concerns the investigation of frequentist properties of these models.
Nils L. Hjort, Pierpaolo De Blasi
core  

Digging Deep: Dynamic Programming for Optimal Routing With Double‐Deep Autonomous Mobile Robot Picking

open access: yesNetworks, EarlyView.
ABSTRACT Multi‐tote autonomous mobile robots (MT‐AMRs) are an emerging warehousing technology in which a mobile drive unit carries a lift‐based storage‐and‐retrieval mechanism with an extendable fork and a multi‐tote onboard buffer. On autonomous picking tours, an MT‐AMR visits storage locations, extracts product totes from racks, stores them in its ...
Nils Boysen, Fabian Hennig, Tobias Kroll
wiley   +1 more source

Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes

open access: yesMachine Learning and Knowledge Extraction
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier   +2 more
doaj   +1 more source

Bayesian Learning and Autoregressive Persistence: Adaptive Forecasting of the Dow Jones Industrial Average (2022–2025) [PDF]

open access: yesRevista de Studii Financiare
Financial markets operate as dynamic systems in which information and volatility interact continuously, challenging traditional forecasting models based on fixed historical patterns.
George Cristian Gruia   +2 more
doaj   +1 more source

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