Results 61 to 70 of about 2,032,077 (205)
A probabilistic scaling approach to conformal predictions in binary image classification [PDF]
Deep learning solutions for image classification are more and more widespread and sophisticated today, bringing the necessity to properly address their reliability.
Fabrizio Dabbene +4 more
core +1 more source
Rethinking crash risk prediction: classification versus probabilistic perspectives
European Transport Research ReviewIn road traffic safety research, crash data is a major source of empirical evidence, which often involves discrete outcomes like crash occurrence and injury severity.
Yingheng Zhang
doaj +1 more source
Quantum Mixture-Density Network for Multimodal Probabilistic Prediction
IEEE AccessMultimodal probability distributions are common in both quantum and classical systems, yet modeling them remains challenging when the number of modes is large or unknown.
Jaemin Seo
doaj +1 more source
Innovative Probabilistic Prediction of Accident Occurrence [PDF]
TransNav, 2007 In the present paper, a safety evaluation index that determines the probability of accident occurrence of collision and stranding when the experiment is executed using a ship handling simulator is proposed, by noting Unsafe Ship Handling Situations.
Kinzo Inoue, Masayuki Kawase
doaj
A review of probabilistic analysis in orthopaedic biomechanics
, 2010 Probabilistic analysis methods are being increasingly applied in the orthopaedics and biomechanics literature to account for uncertainty and variability in subject geometries, properties of various structures, kinematics and joint loading, as well as ...
Laz, P. J. +3 more
core +1 more source
Predicting the Probability of Failure of Cementitious Sewer Pipes Using Stochastic Finite Element Method [PDF]
, 2015 In this paper, a stochastic finite element method (SFEM) is employed to investigate the probability of failure of cementitious buried sewer pipes subjected to combined effect of corrosion and stresses.
Alani, Amir M. +5 more
core +1 more source
AerospaceAirport traffic flow prediction is a basic requirement for air traffic management. Building an effective airport traffic flow prediction model helps reveal how traffic demand evolves over time and supports short-term planning.
Xiangzhi Zhou, Shanmei Li, Siqing Li
doaj +1 more source
Empirical Risk Minimization with Approximations of Probabilistic Grammars [PDF]
, 2010 Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. We present a framework, reminiscent of structural risk minimization, for empirical risk minimization of the parameters of a fixed ...
Smith, N. A., Cohen, S. B.
core
Meta-Learning Probabilistic Inference For Prediction
, 2018 International Conference on Learning Representations (ICLR ...
Gordon, Jonathan +4 more
openaire +5 more sources
Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction
, 2017 Prediction in a small-sized sample with a large number of covariates, the “small n, large p” problem, is challenging. This setting is encountered in multiple applications, such as in precision medicine, where obtaining additional data can be extremely ...
Peltola, Tomi +7 more
core +1 more source