Results 71 to 80 of about 40,900 (196)
Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization
MathematicsThe effective resolution of constrained multi-objective optimization problems (CMOPs) requires a delicate balance between maximizing objectives and satisfying constraints.
Shaoyu Zhao +3 more
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Detection of Application layer DDoS Attacks Based on Bayesian Classifier [PDF]
Assiut 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
"Bayes' Theorem" for Utility [PDF]
, 1976 An algorithm is proposed for updating an initial period objective (risk) function by means of transitional utility (loss) assessments, in a manner analogous to Bayes' theorem for probability.
Tesfatsion, Leigh
core
The Two Extremal Rays of Some Hyper–Kähler Fourfolds
Mathematische Nachrichten, EarlyView.ABSTRACT We consider projective Hyper–Kähler manifolds of dimension 4 that are deformation equivalent to Hilbert squares of K3 surfaces. In case such a manifold admits a divisorial contraction, the exceptional divisor is a conic bundle over a K3 surface. A classification of lattice embeddings implies that there are five types of such conic bundles.
Federica Galluzzi, Bert van Geemen
wiley +1 more source
A multidimensional unfolding method based on Bayes' Theorem [PDF]
, 1994 Bayes' theorem offers a natural way to unfold experimental distributions in order to get the best estimates of the true ones. The weak point of the Bayes approach, namely the need of the knowledge of the initial distribution, can be overcome by an ...
D'Agostini, G., D'Agostini, Giulio
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Probabilistic Machine Learning Using Bayesian Inference
Undergraduate Journal of Mathematical Modeling: One + Two, 2020 Machine Learning is a branch of AI (Artificial Intelligence) which expands on the idea of a computational system extending its knowledge about set methodical behaviors from the data that is fed to it to essentially develop analytical skills that can help
Mayank Pandey
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Mathematical 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
An application of Bayes’ theorem to a problem of Cultural astronomy interest [PDF]
Cultural Heritage and Modern TechnologiesIn 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
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Information Design for Early‐Stage Dose‐Finding Trials
Naval 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
Machine Learning and Knowledge ExtractionIn 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
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