Results 201 to 210 of about 6,917,983 (390)
Autism Research, EarlyView.ABSTRACT Assessing autistic traits alongside co‐occurring emotional/behavioral concerns (EBCs) is challenging due to their overlap in clinical presentations, which can vary by age and sex. This study aimed to investigate domain‐specific associations between autistic traits and EBCs–including anxiety, affective, attention‐deficit/hyperactivity, and ...
Yun‐Ju Chen +13 more
wiley +1 more source
Factors affecting timely completion of a PhD: a complex systems approach
Journal of the Scholarship of Teaching and Learning, 2012 Completing a PhD on time is a complex process, influenced by many interacting factors. In this paper we take a Bayesian Network approach to analyzing the factors perceived to be important in achieving this aim.
Jegar Pitchforth +7 more
doaj
The Baysean Approach Appliance for Early Detection of Insider Threat
Безопасность информационных технологий, 2015 Purpose of report is to increase the information security level of an organization from insider threats. The report presents the method of detection and determination of the type of supposed insider threat with the help of the Bayesian approach.
Anna Pavlovna Mikhalkova +1 more
doaj
Entropy and MDL discretization of continuous variables for Bayesian belief networks
, 2000 Ellis Clarke, Bruce Barton
openalex +1 more source
Bayesian Networks and the Problem of Unreliable Instruments [PDF]
, 2002 Luc Bovens, Stephan Hartmann
openalex +1 more source
Bayesian Optimization in Bioprocess Engineering—Where Do We Stand Today?
Biotechnology and Bioengineering, EarlyView.ABSTRACT Bayesian optimization is a stochastic, global black‐box optimization algorithm. By combining Machine Learning with decision‐making, the algorithm can optimally utilize information gained during experimentation to plan further experiments—while balancing exploration and exploitation.
Florian Gisperg +5 more
wiley +1 more source
Reporting Standards for Bayesian Network Modelling. [PDF]
Entropy (Basel)Barons MJ +3 more
europepmc +1 more source
Explaining away ambiguity: Learning verb selectional preference with Bayesian networks
, 2000 Massimiliano Ciaramita, Mark Johnson
openalex +2 more sources