Results 61 to 70 of about 258,655 (245)

© Hindawi Publishing Corp. AN IMPROVED BAYES EMPIRICAL BAYES ESTIMATOR

open access: yes, 2001
Consider an experiment yielding an observable random quantity X whose distri-bution Fθ depends on a parameter θ with θ being distributed according to some distribution G0.
N. G. N. Prasad, R. J. Karunamuni
core  

Macroscopic Graphene Oxide Corrugated Structures

open access: yesAdvanced Materials Interfaces, EarlyView.
Various macroscopic 3D corrugated structures, including triangular corrugations, sinusoidal corrugations, and corrugated boards, are constructed from graphene oxide paper. These structures have smooth and compact surfaces and high geometrical precision.
Siyu Liu, Xue‐Mei Lin
wiley   +1 more source

A Decision tree-based attribute weighting filter for naive Bayes [PDF]

open access: yes, 2006
The naive Bayes classifier continues to be a popular learning algorithm for data mining applications due to its simplicity and linear run-time. Many enhancements to the basic algorithm have been proposed to help mitigate its primary weakness--the ...
Hall, Mark A.
core  

A Layered Two‐Dimensional Hydrogen‐Bonded Organic Framework Based on 2,5,8,11‐Tetrakis(4‐Carboxyphenyl)Perylene Diimide: Structural Nature, Optical and Photophysical Properties

open access: yesAdvanced Optical Materials, EarlyView.
A novel hydrogen‐bonded organic framework (HOF) based on perylene diimide (PDI) is synthesized, structurally and spectroscopically characterized. Its photophysical behavior highlights how supramolecular organizations govern the optical properties, including emission from monomers, aggregates, and excimer‐like species. Structural transformations induced
Mario de la Hoz Tomás   +9 more
wiley   +1 more source

On the Stability of Bayes Estimators for Gaussian Processes. [PDF]

open access: yesThe Annals of Statistics, 1982
Consider a Gaussian signal process \(X=(X_ t)\) observed in the presence of an additive Gaussian noise process \(N=(N_ t)\) for t in [0,T]. The paper is concerned with the behaviour of the Bayes estimator \(\delta_ 0\) under departures from Gaussian law by the prior or noise processes. The problem of choosing a suitable contamination model is discussed.
openaire   +2 more sources

Muscle Control of an Extra Robotic Digit

open access: yesAdvanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ   +7 more
wiley   +1 more source

Bayes, Neyman and Neyman-Bayes Inference for Queueing Systems [PDF]

open access: yes
In this paper we will use the Bayesian inference for the parameters that appear in the queueing systems. We will estimate these parameters and we will build confidence intervals and significance tests for them, considering the parameters of the ...
Ciuiu, Daniel
core  

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

open access: yesAdvanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder   +3 more
wiley   +1 more source

Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability [PDF]

open access: yes, 1993
Various ways of estimating probabilities, mainly within the Bayesian framework, are discussed. Their relevance and application to machine learning is given, and their relative performance empirically evaluated. A method of accounting for noisy data is given and also applied.
openaire   +3 more sources

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