Results 91 to 100 of about 7,343,069 (347)
Arthritis Care &Research, EarlyView.Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale +6 more
wiley +1 more source
Havacılık ve Uzay Teknolojileri Dergisi, 2017 This paper proposes a probabilistic model for assessment of fighter aircraft mission survivability. Mission survivability analysis is a critical phase for both design of the fighter aircraft and evaluation of its performance.
Nazım Kemal Üre
doaj
Probabilistic graphical models in artificial intelligence
Applied Soft Computing, 2011 In this paper, we review the role of probabilistic graphical models in artificial intelligence. We start by giving an account of the early years when there was important controversy about the suitability of probability for intelligent systems. We then discuss the main milestones for the foundations of graphical models starting with Pearl’s pioneering ...
Larrañaga Múgica, Pedro María +1 more
openaire +2 more sources
Graphical Entry of FSMDs Revisited:
, 2008 This paper discusses issues of graphical modelling of Finite State Machines with Datapath (FSMDs). Tools supporting the graphical entry of state based systems are usable by intuition, but need to be based on an exact definition of semantics of graphical ...
Putting Graphical Models +1 more
core
Arthritis Care &Research, Accepted Article.Objective We describe the frequency, risk factors, severity, and management of actionable and serious adverse events (AAE and SAE) in children with newly diagnosed Juvenile Idiopathic Arthritis (JIA) in Canada. Methods We enrolled patients within 3 months of JIA diagnosis in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry,
Bashayer Alnuaimi +10 more
wiley +1 more source
Sparse nested Markov models with log-linear parameters
, 2013 Hidden variables are ubiquitous in practical data analysis, and therefore modeling marginal densities and doing inference with the resulting models is an important problem in statistics, machine learning, and causal inference.
Robins, James +3 more
core +1 more source
Probabilistic retrieval models - relationships, context-specific application, selection and implementation [PDF]
, 2011 PhDRetrieval models are the core components of information retrieval systems, which guide the document and query representations, as well as the document ranking schemes.
Wang, Jun
core +4 more sources
Computing Sobol indices in probabilistic graphical models
Reliability Engineering & System Safety, 2022 R. Ballester-Ripoll, Manuele Leonelli
semanticscholar +1 more source
Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms, Second Edition
Reasoning with Probabilistic and Deterministic Graphical Models, 2019 Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general.
R. Dechter
semanticscholar +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source