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            "note": "<p>Cilj istraživanja bio je testiranje mogućnosti predikcije natjecateljske uspješnosti slovenskih tenisača temeljem najvažnijih morfoloških mjera i testova motoričkih sposobnosti koji su bili odabrani na osnovu automatskih kompjutorskih metoda i od strane iskusnih teniskih trenera, uz upotrebu metoda strojnag učenja. U analizu je bilo uključeno 1002 muškaraca i žena koji su prošli redovita testiranja slovenskog nacionalnog teniskog saveza te su bili pazicionirani na njihavoj rang listi u sezonama od 1993 do 2008. Odabir najvažnijih varijablia uz pomoć dvije automatske metode dao je slične rezultate, dok su se varijable odabrane od strane trenera bitno razlikovale. Dokazano je kako je uz pomoć klasifikacijskih metoda moguća dobra predikcija natjecateljske uspješnosti u uzrastima ispod 16 godina, dok je kod uzrasta starijih od 16 godina ta predikcija loša. Među regresijskim metodama, za razilku od linearne regresije koja je dala zadovoljavajuće rezultate, regresijsko drvo pokazalo se praktično neupotrebljivim. Automatske metode odabira najvažnijih varijabla morfoloških karakteristika i motoričkih sposobnosti pokazale su se superiornima u odnosu na metode odabira koje koriste teniski treneri. Ta je činjenica bila najviše istaknuta kod ženskih tenisačica i kod upotrebe metode linearne regresije. (Croatian) [ABSTRACT FROM AUTHOR]</p>",
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            "note": "<p>Copyright of Kinesiology is the property of Faculty of Kinesiology University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)</p>",
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            "abstractNote": "The aim of the study was to examine the predictability of the competitive performance of Slovene tennis players by using the most promising morphological measures and motor tests selected by automatic computer methods and by experienced tennis coaches by means of machine learning methods. The analysis included altogether 1,002 male and female tennis players who had undergone regular testing by the National Tennis Association and were positioned on the ranking list of the Slovene Tennis Association between the years 1993 and 2008. Selections of the most promising variables by means of the two automatic methods yielded similar results, whereas the selection performed on the basis of estimates made by coaches differed considerably. With regard to the analysis by means of classification methods, an accurate predictability of competitive performance for the age category younger than 16 years was observed, while the results of predictions for the age category older than 16 were poor. Among the regression methods, as opposed to the linear regression, which has yielded satisfactory results, regression trees served no useful purpose in practice. Automatic methods for identifying the most promising variables proved to be more successful than those of the coaches, which was most clearly noticeable with regard to the female tennis players and when linear regression was used. (English) [ABSTRACT FROM AUTHOR]",
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                    "name": "Cercle d'études Jacques et Raïssa Maritain"
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            "series": "",
            "seriesNumber": "",
            "volume": "",
            "numberOfVolumes": "",
            "edition": "",
            "date": "1982",
            "publisher": "Éditions universitaires",
            "place": "Fribourg [Switzerland]",
            "originalDate": "",
            "originalPublisher": "",
            "originalPlace": "",
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            "numPages": "17",
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            "DOI": "",
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            "archiveLocation": "",
            "shortTitle": "",
            "language": "",
            "libraryCatalog": "library.lib.asu.edu Library Catalog",
            "callNumber": "",
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            "tags": [
                {
                    "tag": "Philosophy",
                    "type": 1
                }
            ],
            "collections": [],
            "relations": {},
            "dateAdded": "2011-07-01T17:13:46Z",
            "dateModified": "2011-07-01T17:13:46Z"
        }
    }
]