Results 81 to 90 of about 63,948 (252)

Data informed performance assessment and structural health monitoring for existing and historical concrete structures

open access: yesStructural Concrete, EarlyView.
Abstract Our generation inherits this cultural heritage of historic material and historic reinforced concrete structures and thus bears a certain responsibility to preserve these historic buildings with the help of the new technologies of lifetime management, conservation concepts and the new digitalization as well as the emerging safety concepts of ...
A. Strauss
wiley   +1 more source

Dirichlet Posterior Sampling with Truncated Multinomial Likelihoods [PDF]

open access: yes, 2012
We consider the problem of drawing samples from posterior distributions formed under a Dirichlet prior and a truncated multinomial likelihood, by which we mean a Multinomial likelihood function where we condition on one or more counts being zero a priori.
Johnson, Matthew James, Willsky, Alan S.
core  

Approximate Bayesian Computation for a Class of Time Series Models [PDF]

open access: yes, 2014
In the following article we consider approximate Bayesian computation (ABC) for certain classes of time series models. In particular, we focus upon scenarios where the likelihoods of the observations and parameter are intractable, by which we mean that ...
Jasra, Ajay
core   +1 more source

A hidden semi-Markov model for estimating burst suppression EEG [PDF]

open access: yes2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
Burst suppression is an electroencephalogram (EEG) pattern associated with profoundly inactivated brain states characterized by cerebral metabolic depression. This pattern is distinguished by short-duration band-limited electrical activity (bursts) interspersed between relatively near-isoelectric periods (suppressions).
Chakravarty, Sourish   +4 more
openaire   +4 more sources

Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In this study, we address the challenge of analyzing worker behaviors in high‐mix, low‐volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern ...
Issei Saito   +5 more
wiley   +1 more source

Route Restoring Based on Hidden Semi-Markov Model

open access: yesAdvances in Intelligent Systems Research, 2014
Present raw geo-tagged photo routes cannot provide information as enough as complete GPS trajectories due to the defects hidden in them. This paper mainly aims at analyzing the large amounts of geo-tagged photos and proposing a novel travel route restoring method. In our approach we apply the Hidden SemiMarkov model and Mean Value method to demonstrate
Zhenmin Zhu, Jian Ye, Guannan Wang
openaire   +2 more sources

Lowest Common Denominator: Explaining Multilateral Bargaining Over Lethal Autonomous Weapons Systems Regulation

open access: yesGlobal Policy, EarlyView.
ABSTRACT Lethal Autonomous Weapons Systems (LAWS) have the potential to dramatically alter modern warfare and reshape global power differentials. Despite the strong rationale for negotiating global rules, consensus on whether and how to regulate LAWS has yet to be reached.
Johannes Geith
wiley   +1 more source

Animal behaviour on the move: the use of auxiliary information and semi-supervision to improve behavioural inferences from Hidden Markov Models applied to GPS tracking datasets

open access: yesMovement Ecology, 2023
Background State-space models, such as Hidden Markov Models (HMMs), are increasingly used to classify animal tracks into behavioural states. Typically, step length and turning angles of successive locations are used to infer where and when an animal is ...
Sarah Saldanha   +3 more
doaj   +1 more source

Bootstrapping Information Extraction from Field Books [PDF]

open access: yes, 2008
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does exist a database filled with information derived from the type of documents ...
Caroline Sporleder, Er Canisius
core   +1 more source

Inferring broken detailed balance in the absence of observable currents [PDF]

open access: yes, 2019
Identifying dissipation is essential for understanding the physical mechanisms underlying nonequilibrium processes. {In living systems, for example, the dissipation is directly related to the hydrolysis of fuel molecules such as adenosine triphosphate ...
Bisker, Gili   +3 more
core   +3 more sources

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