Results 71 to 80 of about 1,820,384 (367)

A Tutorial on Learning with Bayesian Networks [PDF]

Innovations in Bayesian Networks, 1999
A Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. When used in conjunction with statistical techniques, the graphical model has several advantages for data analysis.
D. Heckerman
semanticscholar   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

A probabilistic approach to quantum Bayesian games of incomplete information

, 2014
A Bayesian game is a game of incomplete information in which the rules of the game are not fully known to all players. We consider the Bayesian game of Battle of Sexes that has several Bayesian Nash equilibria and investigate its outcome when the ...
Abbott, Derek, Chappell, James M., Iqbal, Azhar, Li, Qiang, Pearce, Charles E. M.   +4 more
core   +1 more source

Development of a Personalized Visualization and Analysis Tool to Improve Clinical Care in Complex Multisystem Diseases With Application to Scleroderma

Arthritis Care &Research, EarlyView.
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source

Evaluation of genetic diversity of Estahban region fig genotypes based on morphological traits and SCoT molecular markers [PDF]

مجله بیوتکنولوژی کشاورزی
ObjectiveFig (Ficus carica) is a deciduous tree that is grown in arid and semi-arid regions. Figs, as an important crop, have undergone genetic erosion in recent decades due to living and non-living stresses.
Elaheh Ranjbaran, Mehdi Rahimi, Maryam Abdolinasab, Hamid Zare, Mojtaba Kordrostami   +4 more
doaj   +1 more source

Reduced Context Updating but Intact Visual Priors in Autism

Computational Psychiatry, 2021
A general consensus persists that sensory-perceptual differences in autism, such as hypersensitivities to light or sound, result from an overreliance on new (rather than prior) sensory observations. However, conflicting Bayesian accounts of autism remain
R. Randeniya, I. Vilares, J. B. Mattingley, M. I. Garrido   +3 more
doaj   +1 more source

Bayesian Exploration: Incentivizing Exploration in Bayesian Games [PDF]

Operations Research, 2016
In a wide range of recommendation systems, self-interested individuals (“agents”) make decisions over time, using information revealed by other agents in the past, and producing information that may help agents in the future. Each agent would like to exploit the best action given the current information but would prefer the previous agents to explore ...
Yishay Mansour, Aleksandrs Slivkins, Vasilis Syrgkanis, Zhiwei Steven Wu   +3 more
openaire   +2 more sources

Global and Regional Temporal Changes in Cross‐Country Inequalities of Site‐Specific Osteoarthritis Burden, 1990 to 2021

Arthritis Care &Research, EarlyView.
Objective This study examined the global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis (OA) burden from 1990 to 2021. Methods Age‐standardized years lived with disability rates (ASYRs) for site‐specific OA across 204 countries and territories were obtained from the Global Burden of Diseases, Injuries, and ...
Haowei Chen, Lei Si, David J. Hunter, Lei Zhang, Zhe‐Sheng Chen, Xiaomeng Wang, Vicky Duong, Zhounan Zhou, Peihua Cao, Han Cen, Su'an Tang, Tianyu Chen, Houjun Xue, Zhaohua Zhu, Changhai Ding   +14 more
wiley   +1 more source

Bias Adaptive Statistical Inference Learning Agents for Learning from Human Feedback

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
We present a novel technique for learning behaviors from ahuman provided feedback signal that is distorted by system-atic bias. Our technique, which we refer to as BASIL, modelsthe feedback signal as being separable into a heuristic evalu-ation of the ...
Jonathan I Watson
doaj   +1 more source

Effectiveness and Safety of Baricitinib for Juvenile Idiopathic Arthritis–Associated Uveitis or Chronic Anterior Antinuclear Antibody–Positive Uveitis

Arthritis Care &Research, EarlyView.
Objective To evaluate the efficacy and safety of baricitinib in pediatric patients with active juvenile idiopathic arthritis–associated uveitis (JIA‐U) or chronic anterior antinuclear antibody–positive uveitis, who had an inadequate response to methotrexate (MTX) or biologic disease‐modifying antirheumatic drugs (bDMARDs).
Athimalaipet V. Ramanan, Catherine M. Guly, Gabriele Simonini, Stuart Y. Keller, Priyanka Sen, Thorsten Holzkaemper, Joana Araújo, Pierre Quartier   +7 more
wiley   +1 more source