Výsledky vyhledávání - "Apers, Peter M.G."

Fine-Grained Provenance Inference for a Large Processing Chain with Non-materialized Intermediate Views

Autor: Huq, M.R., Apers, Peter M.G., Wombacher, Andreas, Ailamaki, Anastasia, Bowers, Shawn

Publikováno v: Proceedings of the 24th International Conference of Scientific and Statistical Database Management (SSDBM 2012), 397-405
STARTPAGE=397;ENDPAGE=405;TITLE=Proceedings of the 24th International Conference of Scientific and Statistical Database Management (SSDBM 2012)
Lecture Notes in Computer Science ISBN: 9783642312342
SSDBM

Many applications facilitate a data processing chain, i.e. a workflow, to process data. Results of intermediate processing steps may not be persistent since reproducing these results are not costly and these are hardly re-usable. However, in stream d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::030897930977c85fdc62f5d2bea852b5
https://doi.org/10.1007/978-3-642-31235-9_26

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Comparison Of Local And Global Undirected Graphical Models

Autor: Zhu, Zhemin, Hiemstra, Djoerd, Apers, Peter M.G., Wombacher, Andreas, Verleysen, Michel

Publikováno v: ESANN 2014: 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning : Bruges, Belgium, April 23-24-25, 2014 : proceedings, 479-484
STARTPAGE=479;ENDPAGE=484;TITLE=ESANN 2014

CRFs are discriminative undirected models which are globally normalized. Global normalization preserves CRFs from the label bias problem which most local models suffer from. Recently proposed co-occurrence rate networks (CRNs) are also discriminative

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::81ac6304cc775f60e8b3afe419a6f70a
https://research.utwente.nl/en/publications/62f8f272-5662-4a1b-931c-aae836f17586

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Integrating organisational and transactional aspects of cooperative activities

Autor: Faase, Frans J., Even, Susan J., de By, Rolf A., Apers, Peter M.G., Cluet, Sophie, Hull, Rick

Publikováno v: Database Programming Languages ISBN: 9783540648239
DBPL
Database Programming Languages: 6th International Workshop, DBPL-6 Estes Park, Colorado, USA, August 18–20, 1997, Proceedings, 336-354
STARTPAGE=336;ENDPAGE=354;TITLE=Database Programming Languages

This paper introduces the specification language CoCaA. The features of COCGA are designed for the specification of both organisational and transactional aspects of cooperative activities, based on the CoACT cooperative transaction model. The novelty

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40f8a6df2b2840b18b65fd5a706ca55f
https://doi.org/10.1007/3-540-64823-2_19

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Empirical training for conditional random fields

Autor: Zhu, Zhemin, Hiemstra, Djoerd, Apers, Peter M.G., Wombacher, Andreas

Publikováno v: Proceedings of the 22nd Belgian-Dutch Conference on Machine Learning, BENELEARN 2013, 105-105
STARTPAGE=105;ENDPAGE=105;TITLE=Proceedings of the 22nd Belgian-Dutch Conference on Machine Learning, BENELEARN 2013

In this paper (Zhu et al., 2013), we present a practi- cally scalable training method for CRFs called Empir- ical Training (EP). We show that the standard train- ing with unregularized log likelihood can have many maximum likelihood estimations (MLEs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::59511f66de3c11f2982513dc9d22ea73
https://research.utwente.nl/en/publications/empirical-training-for-conditional-random-fields(5fd7ca28-9c2d-427e-a9c6-954e811e67ee).html

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Closed form maximum likelihood estimator of conditional random fields

Autor: Zhu, Zhemin, Hiemstra, Djoerd, Apers, Peter M.G., Wombacher, Andreas

Training Conditional Random Fields (CRFs) can be very slow for big data. In this paper, we present a new training method for CRFs called {\em Empirical Training} which is motivated by the concept of co-occurrence rate. We show that the standard train

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::1f85067d69975207a7cfc3a22851e0d8
https://research.utwente.nl/en/publications/closed-form-maximum-likelihood-estimator-of-conditional-random-fields(6eec86d0-4e14-4dd3-9957-ef4e0dba4e1a).html

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A Framework for Representation, Validation and Implementation of Database Application Semantics

Autor: van Keulen, Maurice, Skowronek, J., Apers, Peter M.G., Balsters, H., Blanken, Henk, de By, R.A., Flokstra, Jan, meersman, R, Mark, L.

Publikováno v: Database applications semantics: proceedings of the IFIP WG 2.6 Working Conference on Database Applications Semantics (DS-6), Stone Mountain, Ga : May 30-June 2, 1995, 526-546
STARTPAGE=526;ENDPAGE=546;TITLE=Database applications semantics
Proceedings of the IFIP WG 2.6 Working Conference on Database Applications Semantics (DS-6), 526-546
STARTPAGE=526;ENDPAGE=546;TITLE=Proceedings of the IFIP WG 2.6 Working Conference on Database Applications Semantics (DS-6)
Database Applications Semantics ISBN: 9781504129466
DS-6

New application domains in data-processing environments pose new requirements on the methodologies, techniques and tools used to design them. The applications’ semantics should be fully represented at an increasingly high level, and the representat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b5c9ada838734037b50c470e0e8d1b1
https://doi.org/10.1007/978-0-387-34913-8_23

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Inferring Fine-Grained Data Provenance in Stream Data Processing: Reduced Storage Cost, High Accuracy

Autor: Huq, M.R., Wombacher, Andreas, Apers, Peter M.G., Hameurlain, Abdelkader, Liddle, Stephen W., Schewe, Klaus-Dieter, Zhou, Xiaofang

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642230905
DEXA (2)
22nd International Conference on Database and Expert Systems Applications (DEXA 2011), 118-127
STARTPAGE=118;ENDPAGE=127;TITLE=22nd International Conference on Database and Expert Systems Applications (DEXA 2011)

Fine-grained data provenance ensures reproducibility of results in decision making, process control and e-science applications. However, maintaining this provenance is challenging in stream data processing because of its massive storage consumption,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::483ca3fa255309b63cb46a00653b1d67
https://doi.org/10.1007/978-3-642-23091-2_11

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Inference Optimization using Relational Algebra

Autor: Evers, S., Fokkinga, M.M., Apers, Peter M.G.

Exact inference procedures in Bayesian networks can be expressed using relational algebra; this provides a common ground for optimizations from the AI and database communities. Specifically, the ability to accomodate sparse representations of probabi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::23890237aaebd11fcb210e5f8567916f
https://research.utwente.nl/en/publications/inference-optimization-using-relational-algebra(8bb06385-6a6e-4d2d-bfde-aaf482545a35).html

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The right expert at the right time and place: From expertise identification to expertise selection

Autor: Serdyukov, Pavel, Feng, L., van Bunningen, A.H., Evers, S., van Heerde, H.J.W., Apers, Peter M.G., Fokkinga, M.M., Hiemstra, Djoerd

Publikováno v: Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management (PAKM2008), 38-49
STARTPAGE=38;ENDPAGE=49;TITLE=Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management (PAKM2008)

We propose a unified and complete solution for expert finding in organizations, including not only expertise identification, but also expertise selection functionality. The latter two include the use of implicit and explicit preferences of users on m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::a6137addbfb34c17d7d613b06260be07
https://research.utwente.nl/en/publications/9253f2c2-ed7d-465a-b7ec-edc0126730a4

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