Results 71 to 80 of about 520,634 (314)
MODELS AND METHODS FOR IMPLEMENTING PEDAGOGICAL INTERVENTIONS IN MODEL-TRACING COGNITIVE TUTORS
Радіоелектронні і комп'ютерні системи, 2017 This paper presents some models and methods for generating pedagogical interventions in model-tracing cognitive tutors. They use Bayesian networks for assessment and making decisions, this feature allows managing uncertainty reasoning based on a formal ...
Juan Pablo Martinez Bastida +2 more
doaj +1 more source
Knowing what you know in brain segmentation using Bayesian deep neural networks
, 2019 In this paper, we describe a Bayesian deep neural network (DNN) for predicting FreeSurfer segmentations of structural MRI volumes, in minutes rather than hours.
Bandettini, Peter +9 more
core
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Advanced Robotics Research, EarlyView.A miniaturized soft optical sensor that uses thin film color tuning enables real‐time 3D shape‐sensing from a single red–green–blue (RGB) signal. When integrated into a soft robot, it enables closed‐loop control and autonomous navigation in a phantom lung environment without the need for onboard electronics, achieving sub‐millimeter accuracy through ...
Frank Juliá Wise +6 more
wiley +1 more source
مجله علوم روانشناختی, 2021 Background: Network science as a new field in psychological measurement provides a good platform for test analysis, but in Iran, research on the analysis of test questions using network data analysis has been neglected. Aims: The aim of this study was to
Nadia Soltani +3 more
doaj
An Empirical-Bayes Score for Discrete Bayesian Networks
, 2016 Bayesian network structure learning is often performed in a Bayesian setting, by evaluating candidate structures using their posterior probabilities for a given data set.
Scutari, Marco
core
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Bayesian network considering the clustering of the customers in a hair salon
Cogent Business & Management, 2019 The service industry, which includes hair salons, currently accounts for almost 70% of Japan’s GDP(Gross Domestic Product). Although hair salons are frequently used, over the years, the industry has decreased in size.
Yuki Horita, Haruka Yamashita
doaj +1 more source
Assessing and Analyzing the Level of Informal Employment in Ukraine [PDF]
Problemi EkonomikiThe article addresses the pressing issue of informal employment in Ukraine, which poses a significant challenge for the national economy and the social protection of citizens.
Moroz Svitlana G., Tsymbal Diana O.
doaj +1 more source
Advanced Sustainable Systems, EarlyView.Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit +43 more
wiley +1 more source