Results 21 to 30 of about 8,034,918 (294)

DISCIPLINE ATTITUDE OF ELEMENTARY SCHOOL STUDENTS ON DISTANCE LEARNING [PDF]

open access: yes, 2022
The Covid-19 pandemic has hit Indonesia for about a year, and many activities have shifted online. No exception in the field of education. Learning is done online or in distance learning.
Hadi, Waluyo   +3 more
core   +1 more source

Process Monitoring Based on Multivariate Causality Analysis and Probability Inference

open access: yesIEEE Access, 2018
System security is one of the key challenges of the cyber-physical systems. Bayesian approach can estimate and predict the potentially harmful factors of the general system, but it has many limitations that can lead to undesirable effects in the complex ...
Xiaolu Chen, Jing Wang, Jinglin Zhou
doaj   +1 more source

Knowledge graph construction with structure and parameter learning for indoor scene design

open access: yesComputational Visual Media, 2018
We consider the problem of learning a representation of both spatial relations and dependencies between objects for indoor scene design. We propose a novel knowledge graph framework based on the entity-relation model for representation of facts in indoor
Yuan Liang   +4 more
doaj   +1 more source

Pairwise meta-rules for better meta-learning-based algorithm ranking [PDF]

open access: yes, 2013
In this paper, we present a novel meta-feature generation method in the context of meta-learning, which is based on rules that compare the performance of individual base learners in a one-against-one manner.
Pfahringer, Bernhard, Sun, Quan
core   +1 more source

W-Trans: A Weighted Transition Matrix Learning Algorithm for the Sensor-Based Human Activity Recognition

open access: yesIEEE Access, 2020
The sensor-based human activity recognition has been wildly applied in behavior tracking, health monitoring, indoor localization etc. Using activity continuity to assist activity recognition is an important research issue, in which the activity ...
Changhai Wang   +5 more
doaj   +1 more source

Efektivitas Model Project Based Learning Terhadap Hasil Belajar Siswa di SMAN 2 Kayuagung: Efektivitas, Project Based Learning, Hasil Belajar, SMAN 2 Kayuagung [PDF]

open access: yes, 2023
This research serves to determine the effectiveness of the Project Based Learning (Pjbl) model on student learning outcomes at SMAN 2 Kayuagung. This type of research is qualitative research, namely analyzing the effectiveness of the Project Based ...
Mei, Mei, Safitri, Sani
core   +1 more source

Active learning BSM parameter spaces

open access: yesEuropean Physical Journal C: Particles and Fields, 2023
Active learning (AL) has interesting features for parameter scans of new models. We show on a variety of models that AL scans bring large efficiency gains to the traditionally tedious work of finding boundaries for BSM models.
Mark D. Goodsell, Ari Joury
doaj   +1 more source

A Novel Qualitative Maximum a Posteriori Estimation for Bayesian Network Parameters Based on Computing the Center Point of Constrained Parameter Regions

open access: yesIEEE Access, 2022
Introducing parameter constraints has become a mainstream approach for learning Bayesian network parameters with small datasets. The QMAP (Qualitative Maximum a Posteriori) estimation has produced the best learning accuracy among existing learning ...
Ruohai Di   +3 more
doaj   +1 more source

Construction and Reasoning Approach of Belief Rule-Base for Classification Base on Decision Tree

open access: yesIEEE Access, 2020
The classical belief rule-based (BRB) systems are usually constructed by arranging and combining referential values of antecedent attributes or by setting special fixed values, which can lead to overly large size of BRB systems in complex problems.
Yanggeng Fu   +4 more
doaj   +1 more source

Learning Populations of Parameters

open access: yes, 2017
Consider the following estimation problem: there are $n$ entities, each with an unknown parameter $p_i \in [0,1]$, and we observe $n$ independent random variables, $X_1,\ldots,X_n$, with $X_i \sim $ Binomial$(t, p_i)$. How accurately can one recover the "histogram" (i.e. cumulative density function) of the $p_i$'s?
Kevin Tian, Weihao Kong, Gregory Valiant
openaire   +3 more sources

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