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Views 716 Favourites 0 Web Service Bayesian parameter estimation Web Service SOAPSoaplab Es

Specified Name (from WSDL): AnalysisServiceService |
aka estimate_bayesian_parameters Add_annotation_inactiveAdd_annotation_inactiveLog in to add alternative_name
Annotations: 73 Total number of annotations from the provider's definition / description document. 60 Total number of annotations submitted by members of the BioCatalogue. 13 Total number of annotations sourced from other registries. 0

Overview

This looks like a Soaplab service. Click here for more info and guidance on how to use this serviceExpand

Provider:
Universitat Pompeu Fabra (UPF)

Location:
SPAIN Es

Submitter / Source:
Marc Poch RieraEs (over 12 years ago)

Base URL:
http://ws03.iula.upf.edu/soaplab2-axis/services/lexicon_terminology_extraction.estimate_bayesian_parameters

WSDL Location:
http://ws03.iula.upf.edu/soaplab2-axis/services/lexicon_terminology_extraction.estimate_bayesian_parameters?wsdl (download last cached WSDL file)

Description(s):
by Muntsa Padró (over 12 years ago)

Given a training set encoded as vectors of cue (or feature) occurrences, this web service estimates the parameters P(cuei|class): the probability of seeing each cue as a member or non-member of the class. This estimation is performed using Bayesian inference, which combines prior knowledge with observed data. The parameters estimated with this web service can be used, for example, to classify new instances using a Naive Bayes
classifier. The output format is the one needed as input for the naive_bayes_classifier webservice.

Details (from Soaplab server):
from Soaplab server (over 10 years ago)
  • ds_lsr_analysis :
    • analysis :
      • type : Lexicon_Terminology_Extraction
      • analysis_extension :
        • name : estimate_bayesian_parameters
        • input :
        • description : cat: donat el conjunt de signatures d'entrenament en un fitxer weka (train_file.arff), estimar el pes ("theta") de cada pista usant les frequències de les dades i el coneixement a priori donat al fitxer de priors (priors.csv). Com a paràmetre d'entrada es pot posar la mida que donem a les dades virtuals.
          es: dado el conjunto de signaturas de entrenamiento en un fichero weka (train_file.arff), estimar el peso ("theta") de cada pista usando las frecuencias de los datos y el conocimiento a priori dado en el fichero de priors (priors.csv). Cómo parámetro de entrada se puede poner la medida que damos a los datos virtuales (peso del prior).
          en: given the set of training signatures in a weka file (train_file.arff), estimate the weight ("theta") of each cue using data frequencies and prior knowledge given in priors file (priors.csv). As a parameter, we can give the size to give to virtual size (weight of the priors).
        • installation : Soaplab2 default installation
        • output :

    Show all Expand
    License(s): Info
    None
    Cost: Info
    by Santi (over 11 years ago)

    This Web Service is free for research use. It was developed in the framework of the PANACEA project, funded by the European Union Language Technologies Area, Information and Communication Technologies, of the 7th Framework Programme (7FP-ITC-248064).

    Usage Conditions: Info
    by Santi (over 11 years ago)

    These Terms and Conditions of Service will apply to your use of this web-service and by using the web-service, you are agreeing to these Terms and Conditions of Service.

    (a) Authorized Users: users affiliated with a research or non-profit educational institution.

    (b) Authorized Use: Restricted to use for research or educational purposes. You should have the right to legally use the “Input data” to the web service and hence acquire all rights to the output data.

    (c) Prohibited use: commercial purposes, including charging a fee-for-service; it is also prohibited to use input data for which you did not obtain the necessary rights.

    (d) Warranty; Disclaimers: authorized Users recognize that IULA is an aggregator of third-party web services. This web-service owner warrants that to its knowledge use of the web service in accordance with the terms of this document will not infringe the copyright of any third party.

    (e) Liability: The web service and IULA will not be liable, and Users agree that they will not hold IULA or the web service liable for any loss, injury, claim, liability, damages, costs, and/or attorneys fees of any kind that result from the use of this web service.

    Contact Info: Info
    by Santi (over 11 years ago)

    iulatrl@upf.edu

    Publications: Info
    Citations: Info
    by silvia.arano (over 11 years ago)

    @inproceedings{padro_web_2012,
    address = {Stroudsburg ({USA)}},
    title = {Web Services for Bayesian Learning},
    volume = {29-31},
    url = {http://hdl.handle.net/10230/20329},
    booktitle = {{EACL} 2012: Workshop on Computational Models of Language Acquisition and Loss: Proceedings of the Conference; 2012 April 24; Avignon, France},
    publisher = {Association for Computational Linguistics ({ACL)}},
    author = {Padró, Muntsa and Bel, Núria},
    year = {2012}
    }

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    SOAP Operations (23)

    These are the SOAP operations available for the SOAP variant of this service. Click on each one to get more information and to annotate.

    createAndRun

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

    Tags on this SOAP Operation:
    none

    createAndRunNotifiable

    2 inputs | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    createJob

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    describe

    0 inputs | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    destroy

    1 input | 0 outputs

    Part of Service: Bayesian parameter estimation Web Service

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    none

    getAnalysisType

    0 inputs | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    getCharacteristics

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    getCreated

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    getElapsed

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    getEnded

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    getInputSpec

    0 inputs | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    getLastEvent

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    getNotificationDescriptor

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    getResults

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    getResultSpec

    0 inputs | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    getSomeResults

    2 inputs | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    none

    getStarted

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    getStatus

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    run

    1 input | 0 outputs

    Part of Service: Bayesian parameter estimation Web Service

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    runAndWaitFor

    1 input | 1 output

    Part of Service: Bayesian parameter estimation Web Service

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    runNotifiable

    2 inputs | 0 outputs

    Part of Service: Bayesian parameter estimation Web Service

    Tags on this SOAP Operation:
    none

    terminate

    1 input | 0 outputs

    Part of Service: Bayesian parameter estimation Web Service

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    none

    waitFor

    1 input | 0 outputs

    Part of Service: Bayesian parameter estimation Web Service

    Tags on this SOAP Operation:
    none

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    Archived Operations (0) Info


    Monitoring

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    Availability Checks (2)

    Availability Checks
    PASSED
    98% Info
    Monitored Since : Friday April 20 , 2012 InfoBayesian parameter estimation Web Service
    PASSED
    98% Info
    Monitored Since : Friday April 20 , 2012 InfoBayesian parameter estimation Web Service

    TestScripts (0)

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    News

     

    Info Updates from WSDL

    WSDL Location: http://ws03.iula.upf.edu/soaplab2-axis/services/lexicon_terminology_extraction.estimate_bayesian_parameters?wsdl

    Expand Over 10 years ago 23 updates
    Expand Over 10 years ago 23 updates
    Expand Over 10 years ago 23 updates
    Expand Over 10 years ago 23 updates
    Expand Over 10 years ago 42 updates