Results 31 to 40 of about 389,689 (283)
Invariant probabilistic prediction
BiometrikaSummary In recent years, there has been growing interest in statistical methods that exhibit robust performance under distribution changes between training and test data. While most of the related research focuses on point predictions with the squared error loss, this article turns the focus towards probabilistic predictions, which aim ...
Alexander Henzi +3 more
openaire +3 more sources
The value of probabilistic prediction [PDF]
Atmospheric Science Letters, 2008 AbstractProbabilistic forecasts designed to estimate the probability density function of forecast states are potentially more valuable than single forecasts because (1) they can predict not only the most likely outcome but also the probability of occurrence of extreme and rare events and (2) probabilistic forecasts issued on consecutive days are ...
openaire +2 more sources
The development of mathematical model of process of information system monitoring [PDF]
Омский научный вестник, 2018 In our time, the development of information networks requires high availability, performance and fault tolerance. To achieve the best performance of these parameters there is a need in monitoring them. The article proposes the most relevant states in
N. R. Storozhenko, A. I. Goleva
doaj +1 more source
, 2012 Predictions of the uncertainty associated with extreme events are a vital component of any prediction system for such events. Consequently, the prediction system ought to be probabilistic in nature, with the predictions taking the form of probability ...
Friederichs, Petra +1 more
core +1 more source
Deep and Confident Prediction for Time Series at Uber
, 2017 Reliable uncertainty estimation for time series prediction is critical in many fields, including physics, biology, and manufacturing. At Uber, probabilistic time series forecasting is used for robust prediction of number of trips during special events ...
Laptev, Nikolay, Zhu, Lingxue
core +1 more source
A Probabilistic Extension of Action Language BC+
, 2018 We present a probabilistic extension of action language BC+. Just like BC+ is defined as a high-level notation of answer set programs for describing transition systems, the proposed language, which we call pBC+, is defined as a high-level notation of ...
Lee, Joohyung, Wang, Yi
core +1 more source
Object Detection as Probabilistic Set Prediction
, 2022 Accurate uncertainty estimates are essential for deploying deep object detectors in safety-critical systems. The development and evaluation of probabilistic object detectors have been hindered by shortcomings in existing performance measures, which tend to involve arbitrary thresholds or limit the detector's choice of distributions.
Georg Hess +2 more
openaire +2 more sources
工程科学学报The aero engine is crucial for the safe flight of aircraft. Predicting its remaining useful life allows for timely maintenance, thereby preventing potential flight accidents.
Yanyan HU, Yating BAI
doaj +1 more source
Frontiers in Energy Research, 2022 Since deterministic prediction errors of wind power cannot be avoided, probabilistic prediction can adequately describe the uncertainty of wind power and, thus, provide further guidance to dispatching authorities for decision making.
Yong Sun +4 more
doaj +1 more source
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular Oncology, EarlyView.This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source