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A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. [PDF]

Health Data Sci
Sun C, Song M, Cai D, Zhang B, Li H, Hong S.   +5 more
europepmc   +1 more source

Implicit versus explicit Bayesian priors for epistemic uncertainty estimation in clinical decision support. [PDF]

PLOS Digit Health
Blattmann M, Lindenmeyer A, Franke S, Neumuth T, Schneider D.   +4 more
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MASCOT-Skyline integrates population and migration dynamics to enhance phylogeographic reconstructions. [PDF]

PLoS Comput Biol
Müller NF, Bouckaert RR, Wu CH, Bedford T.   +3 more
europepmc   +1 more source

Formal methods for safety-critical machine learning: a systematic literature review. [PDF]

Front Artif Intell
Newcomb A, Ochoa O.
europepmc   +1 more source

Interleaving asynchronous and synchronous activity in balanced cortical networks with short term synaptic depression. [PDF]

Nat Commun
Dunworth JB, Xu Y, Graupner M, Ermentrout B, Reyes AD, Doiron B.   +5 more
europepmc   +1 more source

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Stability of Piecewise-Deterministic Markov Processes

SIAM Journal on Control and Optimization, 1999
Summary: We study a form of stability for a general family of nondiffusion Markov processes known in the literature as piecewise-deterministic Markov processes (PDMP). By stability here we mean the existence of an invariant probability measure for the PDMP.
F Dufour, O L V Costa
exaly   +2 more sources

Safety Verification of Piecewise-Deterministic Markov Processes

Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, 2016
We consider the safety problem of piecewise-deterministic Markov processes (PDMP). These are systems that have deterministic dynamics and stochastic jumps, where both the time and the destination of the jumps are stochastic. Specifically, we solve a p-safety problem, where we identify the set of initial states from which the probability to reach ...
Rafael Wisniewski, Christoffer Sloth, Manuela-Luminita Bujorianu, Nir Piterman   +3 more
openaire   +3 more sources