Results 71 to 80 of about 444,491 (252)

Exact Bayes’ theorem based probabilistic data association for iterative MIMO detection and decoding [PDF]

open access: yes, 2013
In our previous work, it was shown that the conventional approximate Bayes' theorem based probabilistic data association (PDA) algorithms output "nominal APPs", which are unsuitable for the classic architecture of iterative detection and decoding (IDD ...
Yang, Shaoshi   +3 more
core   +1 more source

Peskine Sixfolds and Debarre–Voisin Fourfolds With Associated Cubic Fourfolds

open access: yesMathematische Nachrichten, EarlyView.
ABSTRACT We develop the notion of Peskine sixfolds with associated K3 surfaces and cubic fourfolds and work out numerical conditions for when these associations occur. In discriminant 24, the first family for which there is an associated cubic fourfold, we identify the cubic explicitly.
Corey Brooke   +3 more
wiley   +1 more source

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

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  

Sistem Pakar Untuk Diagnosis Hama Pada Tanaman Jambu Air Menggunakan Metode Theorema Bayes

open access: yesJurnal Ilmiah Informatika, 2020
Technology is a tool or means used by humans to make ends meet. Technological development covers various aspects of life, such as health, education and in agriculture.
Yoga Junaedi   +2 more
doaj   +1 more source

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

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  

Supervised Protein Structure Classification Using Topological Persistence With DeltaFold

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Recent advances in protein structure prediction have considerably increased the number of available structures, underscoring the need for scalable and accurate methods to compare and classify this huge amount of data. Current approaches based on sequence alignment or structural superposition often lack sensitivity and/or are computationally ...
Joseph Nardin‐Gennequin   +3 more
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

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