Results 51 to 60 of about 389,689 (283)
Frontiers in Environmental ScienceData uncertainty never decreases along processing chains and should always be reported alongside processing results. In this study, we attempt to propagate aleatory data uncertainty through a multiple regression analysis to generate regionalized ...
Hendrik Paasche +4 more
doaj +1 more source
Learning Adaptive Probabilistic Models for Uncertainty-Aware Air Pollution Prediction
IEEE Access, 2023 The air pollution problem has been a serious issue for public health and city development in recent years, which rises an urgent demand for accurate air pollution prediction models.
Zhiyuan Wu +5 more
doaj +1 more source
HP-GAN: Probabilistic 3D human motion prediction via GAN
, 2017 Predicting and understanding human motion dynamics has many applications, such as motion synthesis, augmented reality, security, and autonomous vehicles.
Barsoum, Emad +2 more
core +1 more source
Molecular Oncology, EarlyView.Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source
Machine Learning Approaches for Probabilistic Prediction of Coastal Freak Waves
Journal of Marine Science and EngineeringCoastal freak waves (CFWs) are sudden and hazardous wave events that occur near shorelines and can pose serious threats to coastal visitors and infrastructure.
Dong-Jiing Doong +4 more
doaj +1 more source
Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks [PDF]
, 2012 This paper aims at the problem of link pattern prediction in collections of objects connected by multiple relation types, where each type may play a distinct role.
Denoyer, Ludovic +2 more
core
Molecular Oncology, EarlyView.In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
Probabilistic Prediction in Scikit-Learn
, 2021 This research is partly funded by the Swedish Knowledge Foundation through the industrial graduate school INSIDR.
Sweidan, Dirar, Johansson, Ulf
openaire +2 more sources
Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
A Probabilistic Model for the Cold-Start Problem in Rating Prediction using Click Data
, 2018 One of the most efficient methods in collaborative filtering is matrix factorization, which finds the latent vector representations of users and items based on the ratings of users to items.
Nguyen, ThaiBinh, Takasu, Atsuhiro
core +1 more source