Results 51 to 60 of about 907,927 (141)

A New Generator of Probability Models: The Exponentiated Sine-G Family for Lifetime Studies. [PDF]

Entropy (Basel), 2021
Muhammad M, Alshanbari HM, Alanzi ARA, Liu L, Sami W, Chesneau C, Jamal F.   +6 more
europepmc   +1 more source

Normal tissue complication probability models for prospectively scored late rectal and urinary morbidity after proton therapy of prostate cancer. [PDF]

Phys Imaging Radiat Oncol, 2021
Pedersen J, Liang X, Bryant C, Mendenhall N, Li Z, Muren LP.   +5 more
europepmc   +1 more source

Probability Bracket Notation for Probability Modeling

Axioms
Following Dirac’s notation in Quantum Mechanics (QM), we propose the Probability Bracket Notation (PBN), by defining a probability-bra (P-bra), P-ket, P-bracket, P-identity, etc…Using the PBN, many formulas, such as normalizations and expectations in systems of one or more random variables, can now be written in abstract basis-independent expressions ...
Xing M. Wang, Tony C. Scott
openaire   +4 more sources

Learning parametric policies and transition probability models of markov decision processes from data. [PDF]

Eur J Control, 2021
Xu T, Zhu H, Paschalidis IC.
europepmc   +1 more source

Deep Probability Segmentation: Are Segmentation Models Probability Estimators?

2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT)
Deep learning has revolutionized various fields by enabling highly accurate predictions and estimates. One important application is probabilistic prediction, where models estimate the probability of events rather than deterministic outcomes. This approach is particularly relevant and, therefore, still unexplored for segmentation tasks where each pixel ...
Simone Fassio, Simone Monaco, Daniele Apiletti   +2 more
openaire   +2 more sources

Modeling Multimodal Uncertainties via Probability Distribution Encoders Included Vision-Language Models

IEEE Access
In the field of multimodal understanding and generation, tackling inherent uncertainties is essential for mitigating ambiguous interpretations across multiple targets.
Junjie Wang, Yatai Ji, Yuxiang Zhang, Yanru Zhu, Tetsuya Sakai   +4 more
doaj   +1 more source

How sequence alignment scores correspond to probability models. [PDF]

Bioinformatics, 2020
Frith MC.
europepmc   +1 more source

Pre-Pregnancy Obesity vs. Other Risk Factors in Probability Models of Preeclampsia and Gestational Hypertension. [PDF]

Nutrients, 2020
Lewandowska M, Więckowska B, Sajdak S, Lubiński J.   +3 more
europepmc   +1 more source

Radiation-Induced Hypothyroidism in Patients with Oropharyngeal Cancer Treated with IMRT: Independent and External Validation of Five Normal Tissue Complication Probability Models. [PDF]

Cancers (Basel), 2020
Nowicka Z, Tomasik B, Papis-Ubych A, Bibik R, Graczyk Ł, Latusek T, Rutkowski T, Wyka K, Fijuth J, Schoenfeld JD, Chałubińska-Fendler J, Fendler W.   +11 more
europepmc   +1 more source

Current recommendations on the estimation of transition probabilities in Markov cohort models for use in health care decision-making: a targeted literature review

ClinicoEconomics and Outcomes Research, 2017
Elena Olariu,1 Kevin K Cadwell,1 Elizabeth Hancock,1 David Trueman,1 Helene Chevrou-Severac2 1PHMR Ltd, London, UK; 2Takeda Pharmaceuticals International AG, Zurich, Switzerland Objective: Although Markov cohort models represent one of the most common ...
Olariu E, Cadwell KK, Hancock E, Trueman D, Chevrou-Severac H   +4 more
doaj