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Structure of neutron rich palladium isotopes produced in heavy ion induced fission

dc.contributor.authorHOURY, M.
dc.contributor.authorLUCAS, R.
hal.structure.identifierCentre de Spectrométrie Nucléaire et de Spectrométrie de Masse [CSNSM]
dc.contributor.authorPORQUET, M.G.
dc.contributor.authorTHEISEN, C.
dc.contributor.authorGIROD, M.
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorAICHE, M.
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorALEONARD, M.M.
hal.structure.identifierInstitut de Physique Nucléaire de Lyon [IPNL]
dc.contributor.authorASTIER, A.
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorBARREAU, G.
dc.contributor.authorBECKER, F.
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorCHEMIN, J.F.
hal.structure.identifierCentre de Spectrométrie Nucléaire et de Spectrométrie de Masse [CSNSM]
dc.contributor.authorDELONCLE, I.
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorDOAN, T.P.
dc.contributor.authorDURELL, J.L.
dc.contributor.authorHAUSCHILD, K.
dc.contributor.authorKORTEN, W.
dc.contributor.authorLE COZ, Y.
dc.contributor.authorLEDDY, M.J.
hal.structure.identifierInstitut de Physique Nucléaire de Lyon [IPNL]
dc.contributor.authorPERRIÈS, S.
hal.structure.identifierInstitut de Physique Nucléaire de Lyon [IPNL]
dc.contributor.authorREDON, N.
dc.contributor.authorROACH, A.A.
hal.structure.identifierCentre d'Etudes Nucléaires de Bordeaux Gradignan [CENBG]
dc.contributor.authorSCHEURER, J.N.
dc.contributor.authorSMITH, A.G.
dc.contributor.authorVARLEY, B.J.
dc.date.issued1999
dc.identifier.issn1434-6001
dc.description.abstractEnKernel methods have recently been introduced to solve Natural Language Processing and Text Mining problems. Kernels define a generalised similarity measure between objects of arbitrary structure, with three interesting properties, namely the ability to incorporate prior knowledge about the problem, the implicit mapping of the data into a new feature space, which allows for very richer representation and where problem solving is easier, and finally the independence of learning algorithms from the dimension of this new feature space (—the Kernel trick“). These properties, coupled with robust learning algorithms (for classification, clustering, dimension reduction, filtering, ...) provide some remarkable results in Text Mining tasks, such as document categorization, concept clustering, word sense disambiguation, information extraction, relationship extraction and automatic multilingual lexicon extraction.
dc.language.isoen
dc.publisherEDP Sciences
dc.title.enStructure of neutron rich palladium isotopes produced in heavy ion induced fission
dc.typeArticle de revue
dc.subject.halPhysique [physics]/Physique Nucléaire Expérimentale [nucl-ex]
bordeaux.journalEuropean Physical Journal A
bordeaux.page43-48
bordeaux.volume6
bordeaux.peerReviewedoui
hal.identifierin2p3-00005196
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//in2p3-00005196v1
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