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irenas ml [13 articles]

最近 irenas さんのライブラリに追加された論文の中から タグ ml. You can also see everyone's ml.
  • GENIA corpus--semantically annotated corpus for bio-textmining.
    Bioinformatics, Vol. 19 Suppl 1 (2003)
    by JD Kim, T Ohta, Y Tateisi, J Tsujii
  • The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information
    Psychological Review, Vol. 63 (1956), pp. 81-97.
    by George A Miller
    posted to memo ml psycho by irenas on 2005-04-04 16:40:16 as ** along with 1 person and 1 group ejrrjs dbk-lab
  • Unsupervised discovery of scenario-level patterns for Information Extraction
    (2000), pp. 282-289.
    by Roman Yangarber, Ralph Grishman, Pasi Tapanainen, Silja Huttunen
    posted to ie ml nemam nlp by irenas on 2005-03-26 12:34:48 as ** along with 1 person and 1 group ingo dbk-lab
  • Application of metabolomics to plant genotype discrimination using statistics and machine learning.
    Bioinformatics, Vol. 18 Suppl 2 (October 2002)
    by J Taylor, RD King, T Altmann, O Fiehn
    posted to metab ml stat by irenas on 2005-03-23 12:48:22 as ** along with 1 group dbk-lab
  • Making sense of the metabolome using evolutionary computation: seeing the wood with the trees.
    J Exp Bot, Vol. 56, No. 410. (January 2005), pp. 245-254.
  • Recognizing names in biomedical texts: a machine learning approach.
    Bioinformatics, Vol. 20, No. 7. (1 May 2004), pp. 1178-1190.
    by G Zhou, J Zhang, J Su, D Shen, C Tan
    posted to bib bio med ml ner nlp term by irenas on 2005-03-23 11:20:10 as ** along with 1 person and 1 group farzanehs dbk-lab
  • Automatic resolution of ambiguous terms based on machine learning and conceptual relations in the UMLS.
    J Am Med Inform Assoc, Vol. 9, No. 6. (c 2002), pp. 621-636.
    by H Liu, SB Johnson, C Friedman
    posted to ambig bib bio med ml nlp onto term umls var by irenas on 2005-03-23 10:34:51 as ** along with 1 group dbk-lab
  • notes PreBIND and Textomy – mining the biomedical literature for protein-protein interactions using a support vector machine
    BMC Bioinformatics, Vol. 4 (2003), 11.
    by Ian Donaldson, Joel Martin, Berry de Bruijn, Cheryl Wolting, Vicki Lay, Brigitte Tuekam, Shudong Zhang, Berivan Baskin, Gary D Bader, Katerina Michalickova, Tony Pawson, Christopher W Hogue
  • notes Applying Support Vector Machines for Gene ontology based gene function prediction
    BMC Bioinformatics, Vol. 5 (2004), 116.
    by Sándor Suhai, Karl-Heinz Glatting, Roland Eils, Falk Schubert, Jutta Moormann, Rainer König, Arunachalam Vinayagam
    posted to bib data gene ml onto svm by irenas on 2005-03-22 16:32:43 as ** along with 1 group dbk-lab
  • Monitoring of complex industrial bioprocesses for metabolite concentrations using modern spectroscopies and machine learning: application to gibberellic acid production.
    Biotechnol Bioeng, Vol. 78, No. 5. (5 June 2002), pp. 527-538.
    by AC McGovern, D Broadhurst, J Taylor, N Kaderbhai, MK Winson, DA Small, JJ Rowland, DB Kell, R Goodacre
    posted to memo metab ml by irenas on 2005-03-22 12:03:33 as ** along with 1 person and 2 groups dbk streptomyces dbk-lab
  • Machine Learning of Functional Class from Phenotype Data
    (2002)
    by A Clare, R King
  • Metabolomics and machine learning: explanatory analysis of complex metabolome data using genetic programming to produce simple, robust rules.
    Mol Biol Rep, Vol. 29, No. 1-2. (2002), pp. 237-241.
    by DB Kell
    posted to memo metab ml by irenas on 2005-03-22 11:59:00 as ** along with 1 person and 2 groups dbk streptomyces dbk-lab
  • On the optimization of classes for the assignment of unidentified reading frames in functional genomics programmes: the need for machine learning.
    Trends Biotechnol, Vol. 18, No. 3. (March 2000), pp. 93-98.
    by DB Kell, RD King
    posted to class memo ml by irenas on 2005-03-22 11:56:39 as ** along with 1 person and 2 groups dbk streptomyces dbk-lab
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