Results 31 to 40 of about 25,488 (167)

Pattern discovery and disentanglement on relational datasets

open access: yesScientific Reports, 2021
Machine Learning has made impressive advances in many applications akin to human cognition for discernment. However, success has been limited in the areas of relational datasets, particularly for data with low volume, imbalanced groups, and mislabeled ...
Andrew K. C. Wong   +2 more
doaj   +1 more source

Statistical relational learning for workflow mining

open access: yesIntelligent Data Analysis, 2016
The management of business processes can support efficiency improvements in organizations. One of the most interesting problems is the mining and representation of process models in a declarative language. Various recently proposed knowledge-based languages showed advantages over graph-based procedural notations.
BELLODI, Elena   +2 more
openaire   +2 more sources

Investigating the effects of intellectual capital on organizational performance measurement through organizational learning capabilities [PDF]

open access: yesManagement Science Letters, 2013
During the past few years, there have been growing interests on intellectual capital due to industrial changes on the market. Thus, identifying different ways to create, manage, and evaluate the impact of intellectual capital has remained an open area of
Nabi ollah Nejatizadeh   +4 more
doaj  

Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany

open access: yesScientific Reports, 2022
During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage healthcare resources.
Cornelius Fritz   +2 more
doaj   +1 more source

A Novel Hybrid Temporal Fusion Transformer Graph Neural Network Model for Stock Market Prediction

open access: yesAppliedMath
Forecasting stock prices remains a central challenge in financial modelling, as markets are influenced by market sentiment, firm-level fundamentals and complex interactions between macroeconomic and microeconomic factors, for example.
Sebastian Thomas Lynch   +2 more
doaj   +1 more source

Applying the information bottleneck to statistical relational learning [PDF]

open access: yesMachine Learning, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fabrizio Riguzzi, Nicola Di Mauro
openaire   +4 more sources

Idiomaticity Prediction of Chinese Noun Compounds and Its Applications

open access: yesIEEE Access, 2019
Idiomaticity refers to the situation where the meaning of a lexical unit cannot be derived from the usual meanings of its constituents. As a ubiquitous phenomenon in languages, the existence of idioms often causes significant challenges for semantic NLP ...
Chengyu Wang   +4 more
doaj   +1 more source

The Relationship Between the Lifelong Learning Tendencies and Teacher Self-Efficacy Levels of Social Studies Teacher Candidates

open access: yesDiscourse and Communication for Sustainable Education, 2021
Lifelong learning emerges as an important dimension in the implementation of sustainable education policies of countries. The conception of developing citizenship competencies, which is at the centre of social studies, plays an important role in shaping ...
Yazıcı Kubilay   +3 more
doaj   +1 more source

Statistical Learning Is Related to Reading Ability in Children and Adults [PDF]

open access: yesCognitive Science, 2011
AbstractThere is little empirical evidence showing a direct link between a capacity for statistical learning (SL) and proficiency with natural language. Moreover, discussion of the role of SL in language acquisition has seldom focused on literacy development.
Joanne Arciuli, Ian C. Simpson
openaire   +2 more sources

Measuring the Impact of Learning levels on the Intellectual Capital in the Industrial Organizations: an Empirical Assessment [PDF]

open access: yesبهبود مدیریت, 2011
In knowledge-based economy, intellectual capital is used to create organizational value and success of an organization depends on keeping such scare resources. In addition, organizational learning is one of the most important organizational capabilities,
Reza Hosnavi, Majid Ramezan
doaj  

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