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Knowledge organization literature. Selected items
Your search for
class 258 Application of Numerical Taxonomy in Special Subject Fields
found the 18 items below.
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Items on this class as the base theme
Cheng, Chin Pang, et al. – Improving access to and understanding of regulations through taxonomies (Lang.: eng). - In: Government information quarterly, 26(2009)2, pp.238-245. Young, S.J.; Woodland,P.C.. – State clustering in hidden Markov model-based continuous speech recognition (Lang.: eng). - In: Computer Speech and Language. (1994)8,p.369-383. Attias, R.; Petitjean, M. – Statistical analysis of atom topological neighourhoods and multivariate representation of a large chemical file (Lang.: eng). - In: J.Chem.Inform.& Comput.Sci. Vol. 33. No. 5. 1993. p.649-56. Janssen, L.L.F.; Wel, F.J.M. van der. – Accuracy assessment of satellite derived land-cover data: a review (Lang.: eng). - In: Photogramm.Eng.Remote Sensing. 60(1994)4,p.419-426. Accuracy assessment of land-cover classifications derived froom remote sensing data has been recognized as a valuable tool in judging the fitness of these data for a particular application. The article aims at contributing to this discussion by means of a review based on a division into positional and thematic accuracy. (Author, abbr.)Vogel, F.; Forschungsstelle für Numerische Klassifikation. – Unterentwicklung - Entwicklung.Eine Studie zur Einteilung der Länder anhand von Merkmalen aus den Bereichen 'Wirtschaft' und 'Bevölkerkung und ik' sowie 'Grundbedürfnisse und Soziales' 'Polit (Lang.: ger). - Bamberg, DE, Universität, 1989. – pp. 127. Benediktsson, J.A.; Swain, P.H. – Consensus theoretic classification methods (Lang.: eng). - In: IEEE Transact.on Syst.,Man &.Vol.22.No.4.1992.p.688-704. Adoption of the consensus theory for classifying geographic data from multiple sourcesBenediktsson, J.A.; Swain, P.H.. – Consensus theoretic classification methods (Lang.: eng). - In: IEEE Transact.on Syst.,Man &... Vol. 22. No. 4. p.688-704. Adoption of the consensus theory for classifying geographic data from multiple sources.Chute, C.G.; Yang, Y. – An overview of statistical methods for the classification and retrieval of patient events (Lang.: eng). - In: Meth.Inform.in Medicine. Vol. 34. No. 1/2. 1995. p.104-110. A least squares fit alternative for the computer assisted indexing and retrieval of biomedical texts was developed. The technique demonstrated equivalent or superior retrieval performance when compared to all other textual retrieval techniquesLiang, J.J.; Clarson, V. – A new approach to classification of brainwaves (Lang.: eng). - In: Pattern Recognition.Vol.22.No.6.1989.p.767-774. Shaw, W.M.Jr. – Controlled and uncontrolled subject descriptions in the CF database: A comparison of optimal cluster-based retrieval results (Lang.: eng). - In: Inform.Process.& Management.Vol.29.No.6.1993.p.751-763. Shaw, W.M.Jr.. – Controlled and uncontrolled subject descriptions in the CF database: A comparison of optimal cluster-based retrieval results (Lang.: eng). - In: Inform.Process.& Management. Vol. 29. No. 6. p.751-763. Kirriemuir, J.W.; Willett, P.. – Clustering the output of multi-database online searches (Lang.: eng). - In: Inform.Research Notes. Vol. 5, No. 2. 1994. p.12-17. Grivel, L.; Mutschke, P., Polanco, X. – Thematic mapping on bibliographic databases by cluster analysis: A description of the SDOC environment with SOLIS (Lang.: eng). - In: Knowl.Org. Vol. 22. No. 2. 1995. p.70-77. A co-word analysis-based system called SDOC is presented which is able to support the intellectual work of an end-user who is searching in a bibliographic database. This is done by presenting its thematical structure as a map of keyword clusters (themes). on a graphical user interface. These mapping facilities are demonstrated on the basis of the research field Social History given by a set of documents from the social science literature database SOLISMcDermott, E.; Katagiri, Sh.. – Prototype-based minimum classification error/generalized probabilistic descent training for various speech units (Lang.: eng). - In: Computer Speech and Language. (1994)8,p.351-368. Holman, E.W.. – Quantitative properties of the evolution and classification of languages (Lang.: eng). - In: J. Classif. Vol. 13, No. 1. 1996. p.27-56. Ledger, G.. – An exploration of differences in the Pauline Epistles using multivariate statistical analysis (Lang.: eng). - In: Literary & Linguistic Comput. Vol. 10, No. 2. 1995. p.85-97. Kirriemuir, J.W.; Willett, P.. – Clustering the output of multi-database online searches (Lang.: eng). - In: Inform.Research Notes. 5(1994)2,p.12-17. Dou, H.; Hassanaly, P., Huot, C., Coupet, P. – Advanced services through INTERNET network (Lang.: eng). - In: Cahiers de la Documentation. No. 4. 1994. p.159-165. Proposal to use statistical classification procedures on downloaded data from the Internet in order to openthe way to new information packages
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