Probabilistic graphical models - Open Access .click

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Order Statistics for Probabilistic Graphical Models [PDF]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
We consider the problem of computing r-th order statistics, namely finding an assignment having rank r in a probabilistic graphical model. We show that the problem is NP-hard even when the graphical model has no edges (zero-treewidth models) via a reduction from the partition problem.
David B. Smith 0002, Sara Rouhani, Vibhav Gogate +2 more
openaire +1 more source

Baseline Regional Cholinergic Denervation Predicts Cognitive Trajectories in Moderate Parkinson Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown +6 more
wiley +1 more source

Learned graphical models for probabilistic planning provide a new class of movement primitives

Frontiers in Computational Neuroscience, 2013
Biological movement generation combines three interesting aspects: itsmodular organization in movement primitives, its characteristics ofstochastic optimality under perturbations, and its efficiency in termsof learning.
Elmar A. Rückert +3 more
doaj +1 more source

Contextual Symmetries in Probabilistic Graphical Models

CoRR, 2016
9 Pages, 4 ...
Ankit Anand, Aditya Grover, Mausam, Parag Singla +3 more
openaire +3 more sources

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source

Propagating imprecise probabilities through event trees [PDF]

, 2007
Event trees are a graphical model of a set of possible situations and the possible paths going through them, from the initial situation to the terminal situations. With each situation, there is associated a local uncertainty model that represents beliefs
De Cooman, Gert, Hermans, Filip, Quaeghebeur, Erik +2 more
core +1 more source

A geometric characterisation of sensitivity analysis in monomial models

, 2018
Sensitivity analysis in probabilistic discrete graphical models is usually conducted by varying one probability value at a time and observing how this affects output probabilities of interest. When one probability is varied then others are proportionally
Leonelli, Manuele, Riccomagno, Eva
core +2 more sources

Cumulative Social Disadvantage and Disease Activity in Juvenile Idiopathic Arthritis: A Childhood Arthritis and Rheumatology Research Alliance Registry Study

Arthritis Care &Research, EarlyView.
Objective Social determinants of health (SDOH) contribute to juvenile idiopathic arthritis (JIA) disparities, but most studies have assessed SDOH independently rather than cumulatively across individual, family, and neighborhood levels. Using a socioecological framework, we investigated the relationship among cumulative social disadvantage ...
William Daniel Soulsby +448 more
wiley +1 more source

Probabilistic Graphical Model Representation in Phylogenetics [PDF]

Systematic Biology, 2014
Recent years have seen a rapid expansion of the model space explored in statistical phylogenetics, emphasizing the need for new approaches to statistical model representation and software development. Clear communication and representation of the chosen model is crucial for: (1) reproducibility of an analysis, (2) model development and (3) software ...
Höhna, Sebastian +5 more
openaire +4 more sources

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source

bayesian networks
bayesian inference
graphical models