Results 111 to 120 of about 794,201 (275)

Nonmonotonic Reasoning in Probabilistics. [PDF]

open access: yes, 1998
In probabilistics, reasoning at optimum entropy (ME-reasoning) has proved to be a most sound and consistent method for inference. This paper investigates its properties in the framework of nonmonotonic reasoning. In particular, we show that ME-reasoning satisfies cumulativity and loop, and we focus on its connection to conditionals.
openaire   +1 more source

Real‐World Safety and Effectiveness of JAK Inhibitors in Systemic Sclerosis: A Propensity‐Matched Study From the EUSTAR Cohort

open access: yesArthritis Care &Research, EarlyView.
Objective JAK inhibitors (JAKi) have shown promising effects in early‐phase studies of systemic sclerosis (SSc). We aimed to assess the safety and explore the effectiveness of JAKi compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the European Scleroderma Trials and Research Group (EUSTAR) cohort was ...
Stefano Di Donato   +27 more
wiley   +1 more source

Probabilistic Logic under Coherence, Model-Theoretic Probabilistic Logic, and Default Reasoning in System P

open access: yes, 2001
We study probabilistic logic under the viewpoint of the coherence principle of de Finetti. In detail, we explore how probabilistic reasoning under coherence is related to model-theoretic probabilistic reasoning and to default reasoning in System P.
Lukasiewicz, T   +12 more
core   +1 more source

Model checking probabilistic and stochastic extensions of the pi-calculus [PDF]

open access: yes, 2009
We present an implementation of model checking for probabilistic and stochastic extensions of the pi-calculus, a process algebra which supports modelling of concurrency and mobility.
Parker, D.   +7 more
core   +1 more source

The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases

open access: yesArthritis Care &Research, EarlyView.
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci   +25 more
wiley   +1 more source

Overestimation of volatility in schizophrenia and autism? A comparative study using a probabilistic reasoning task. [PDF]

open access: yesPLoS One, 2021
Kreis I   +5 more
europepmc   +1 more source

Employment Trajectories of Patients With Systemic Lupus Erythematosus and Factors Driving Transitions Between States

open access: yesArthritis Care &Research, EarlyView.
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo   +4 more
wiley   +1 more source

Incidence, Risk Factors and Management of Adverse Events in Contemporary Real‐World Care of Children with Juvenile Idiopathic Arthritis

open access: yesArthritis 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

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Reasoning with models of probabilistic knowledge over probabilistic knowledge [PDF]

open access: yes, 2011
In multi-agent systems, the knowledge of agents about other agents’ knowledge often plays a pivotal role in their decisions. In many applications, this knowledge involves uncertainty.
Shirazi, Afsaneh H.
core  

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