
Graphical model inference: Sequential Monte Carlo meets deterministic approximations
Approximate inference in probabilistic graphical models (PGMs) can be gr...
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Human experts vs. machines in taxa recognition
Biomonitoring of waterbodies is vital as the number of anthropogenic str...
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Estimating complex causal effects from incomplete observational data
Despite the major advances taken in causal modeling, causality is still ...
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Study design in causal models
The causal assumptions, the study design and the data are the elements r...
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Guaranteed error control bounds for the stabilised spacetime IgA approximations to parabolic problems
The paper is concerned with spacetime IgA approximations of parabolic i...
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Adjusting for selective nonparticipation with recontact data in the FINRISK 2012 survey
Aims: A common objective of epidemiological surveys is to provide popula...
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Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors
To compete in this age of disruption, large companies cannot rely on cos...
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Enhancing Identification of Causal Effects by Pruning
Causal models communicate our assumptions about causes and effects in re...
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Simplifying Probabilistic Expressions in Causal Inference
Obtaining a nonparametric expression for an interventional distribution...
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Surrogate Outcomes and Transportability
Identification of causal effects is one of the most fundamental tasks of...
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Unbiased inference for discretely observed hidden Markov model diffusions
We develop an importance sampling (IS) type estimator for Bayesian joint...
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A fast Fourier transform based direct solver for the Helmholtz problem
This paper is devoted to the efficient numerical solution of the Helmhol...
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Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration
Memetic Computing is a subject in computer science which considers compl...
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An Integer Programming Formulation of the Key Management Problem in Wireless Sensor Networks
With the advent of modern communications systems, much attention has bee...
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Twosided bounds for cost functionals of timeperiodic parabolic optimal control problems
In this paper, a new technique is applied on deriving computable, guaran...
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On the use of ABCMCMC with inflated tolerance and postcorrection
Approximate Bayesian computation (ABC) allows for inference of complicat...
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Causal Effect Identification from Multiple Incomplete Data Sources: A General Searchbased Approach
Causal effect identification considers whether an interventional probabi...
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On the use of approximate Bayesian computation Markov chain Monte Carlo with inflated tolerance and postcorrection
Approximate Bayesian computation allows for inference of complicated pro...
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Towards usable automated detection of CPU architecture and endianness for arbitrary binary files and object code sequences
Static and dynamic binary analysis techniques are actively used to rever...
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Optimization of the BeliefPropagation Algorithm for Distributed Detection by Linear DataFusion Techniques
In this paper, we investigate distributed inference schemes, over binary...
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The MaxProduct Algorithm Viewed as Linear DataFusion: A Distributed Detection Scenario
In this paper, we disclose the statistical behavior of the maxproduct a...
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Minimal Learning Machine: Theoretical Results and ClusteringBased Reference Point Selection
The Minimal Learning Machine (MLM) is a nonlinear supervised approach ba...
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Predicting overweight and obesity in later life from childhood data: A review of predictive modeling approaches
Background: Overweight and obesity are an increasing phenomenon worldwid...
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Estimation of causal effects with small data under implicit functional constraints
We consider the problem of estimating causal effects of interventions fr...
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Modeling and Mitigating Errors in Belief Propagation for Distributed Detection
We study the behavior of the beliefpropagation (BP) algorithm affected ...
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Towards largescale, automated, accurate detection of CCTV camera objects using computer vision. Applications and implications for privacy, safety, and cybersecurity. (Preprint
While the first CCTV camera was developed almost a century ago back in 1...
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Scalable Initialization Methods for LargeScale Clustering
In this work, two new initialization methods for Kmeans clustering are ...
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