Results 31 to 40 of about 2,032,077 (205)
Probabilistic Trajectory Prediction with Structural Constraints [PDF]
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 This work addresses the problem of predicting the motion trajectories of dynamic objects in the environment. Recent advances in predicting motion patterns often rely on machine learning techniques to extrapolate motion patterns from observed trajectories, with no mechanism to directly incorporate known rules.
Weiming Zhi +2 more
openaire +3 more sources
Verification tools for probabilistic forecasts of continuous hydrological variables [PDF]
, 2006 In the present paper we describe some methods for verifying and evaluating probabilistic forecasts of hydrological variables. We propose an extension to continuous-valued variables of a verification method originated in the meteorological literature for ...
Tamea, Stefania +5 more
core +2 more sources
Buildings, 2023 To ensure the safety of buildings, accurate and robust prediction of a reinforced concrete deep beam’s shear capacity is necessary to avoid unpredictable accidents caused by brittle failure.
Mao-Yi Liu, Zheng Li, Hang Zhang
doaj +1 more source
On a Probabilistic Combination of Prediction Sources [PDF]
, 2008 Recommender Systems (RS) are applications that provide personalized advice to users about products or services they might be interested in. To improve recommendation quality, many hybridization techniques have been proposed. Among all hybrids, the weighted recommenders have the main benefit that all of the system's constituents operate independently ...
Ioannis Rousidis +3 more
openaire +1 more source
Probabilistic Dalek -- Emulator framework with probabilistic prediction for supernova tomography
CoRR, 2022 7 pages, accepted at ICML 2022 Workshop on Machine Learning for ...
Wolfgang E. Kerzendorf +4 more
openaire +2 more sources
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 +4 more sources
A Probabilistic Analysis of Causation [PDF]
, 2009 The starting point in the development of probabilistic analyses of token causation has usually been the naive intuition that, in some relevant sense, a cause raises the probability of its effect.
Glynn, Luke, Luke Glynn, Glynn, L
core +2 more sources
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 +3 more sources
Improving location prediction services for new users with probabilistic latent semantic analysis
, 2012 Location prediction systems that attempt to determine the mobility patterns of individuals in their daily lives have become increasingly common in recent years.
James McInerney +6 more
core +1 more source
Probabilistic models for melodic prediction
Artificial Intelligence, 2009 AbstractChord progressions are the building blocks from which tonal music is constructed. The choice of a particular representation for chords has a strong impact on statistical modeling of the dependence between chord symbols and the actual sequences of notes in polyphonic music. Melodic prediction is used in this paper as a benchmark task to evaluate
Jean-François Paiement +2 more
openaire +2 more sources