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Probabilistic Tagging of Unstructured Genealogical Records

Related publications (35)

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A Hybrid Machine Learning Approach for Predictive Maintenance in Smart Factories of the Future

Gökan May, Sangje Cho, Roberto Pérez, Ioannis Tourkogiorgis

Advanced technologies based on Internet of Things (IOT) are blazing a trail to effective and efficient management of an overall plant. In this context, manufacturing companies require an innovative strategy to survive in a competitive business environment, ...

SPRINGER-VERLAG BERLIN2018

System, device, and method for contextual knowledge retrieval and display

Pierre Vandergheynst, Kirell Maël Benzi, Benjamin Ricaud

A method to extract patterns of activity from time series of data structured as a network of objects, the method comprising the steps of creating a base graph of similar or related items from a given corpus by comparing intrinsic features of the items, com ...

2017

Exact Diffusion for Distributed Optimization and Learning---Part I: Algorithm Development

Ali H. Sayed, Bicheng Ying, Kun Yuan

This work develops a distributed optimization strategy with guaranteed exact convergence for a broad class of left-stochastic combination policies. The resulting exact diffusion strategy is shown in Part II to have a wider stability range and superior conv ...

2017

Comparative assessment of selected sugarcane biorefinery-centered systems in Brazil: A multi-criteria method based on sustainability indicators

Edgard Gnansounou, Elia Mercedes Ruiz Pachon, Pavel Vaskan, Catarina Marciano Alves

This work proposes a new sustainability assessment framework aiming to compare selected options of biorefineries subject to provide the same services to a community. At this end, a concept of biorefinery-centered system helps to develop a joint resources a ...

Elsevier2017

Practical Private Range Search Revisited

Odysseas Papapetrou, Ioannis Demertzis

We consider a data owner that outsources its dataset to an untrusted server. The owner wishes to enable the server to answer range queries on a single attribute, without compromising the privacy of the data and the queries. There are several schemes on "pr ...

2016

In this thesis, we explore the application of data mining and machine learning techniques to several practical problems. These problems have roots in various fields such as social science, economics, and political science. We show that computer science tec ...

EPFL2015

In recent years, ontology for the Product Lifecycle Management domain has raised a lot of interest in research communities, both academic and industrial. It has emerged as a convenient method for supporting the concept of closed lifecycle information loop, ...

EPFL2015

Classification of urban structural types (UST) using multiple data sources and spatial priors

Arnaud Poncet Montanges

Remote sensing and geographic information science offer many pos- sibilities in terms of availability of diverse data. Some products like land cover layers or digital elevation models can be extracted from imagery and enable the realization of 3D city mode ...

2014

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Under-resourced speech recognizers may benefit from data in languages other than the target language. In this paper, we report how to boost the performance of an Afrikaans automatic speech recognition system by using already available Dutch data. We succes ...

2014

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Although there exists a large body of work on efficient data collection in sensor networks, the vast majority of proposed techniques have not been implemented on real networks or thoroughly studied on real data. As algorithm performance is highly dependent ...

Springer-Verlag Berlin2013