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Volumn 10, Issue , 2009, Pages 317-

Enhancing navigation in biomedical databases by community voting and database-driven text classification

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED CLASSIFICATION; AUTOMATIC CLASSIFICATION; BIOLOGICAL DATABASE; CLASS PROBABILITIES; COMPARATIVE TESTING; COMPUTATIONAL RESOURCES; INFORMATION CONTENTS; TEXT CLASSIFICATION;

EID: 70449719005     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-317     Document Type: Article
Times cited : (28)

References (93)
  • 1
    • 34548658287 scopus 로고    scopus 로고
    • PepBank - a database of peptides based on sequence text mining and public peptide data sources
    • 10.1186/1471-2105-8-280, 1976427, 17678535
    • Shtatland T, Guettler D, Kossodo M, Pivovarov M, Weissleder R. PepBank - a database of peptides based on sequence text mining and public peptide data sources. BMC Bioinformatics 2007, 8:280. 10.1186/1471-2105-8-280, 1976427, 17678535.
    • (2007) BMC Bioinformatics , vol.8 , pp. 280
    • Shtatland, T.1    Guettler, D.2    Kossodo, M.3    Pivovarov, M.4    Weissleder, R.5
  • 2
    • 33746771019 scopus 로고    scopus 로고
    • Imaging pancreatic cancer with a peptide-nanoparticle conjugate targeted to normal pancreas
    • 10.1021/bc060035+, 16848396
    • Montet X, Weissleder R, Josephson L. Imaging pancreatic cancer with a peptide-nanoparticle conjugate targeted to normal pancreas. Bioconjug Chem 2006, 17(4):905-911. 10.1021/bc060035+, 16848396.
    • (2006) Bioconjug Chem , vol.17 , Issue.4 , pp. 905-911
    • Montet, X.1    Weissleder, R.2    Josephson, L.3
  • 3
    • 14644402405 scopus 로고    scopus 로고
    • A branched fluorescent peptide probe for imaging of activated platelets
    • 10.1021/mp0499048, 15804182
    • Tung CH, Quinti L, Jaffer FA, Weissleder R. A branched fluorescent peptide probe for imaging of activated platelets. Mol Pharm 2005, 2(1):92-95. 10.1021/mp0499048, 15804182.
    • (2005) Mol Pharm , vol.2 , Issue.1 , pp. 92-95
    • Tung, C.H.1    Quinti, L.2    Jaffer, F.A.3    Weissleder, R.4
  • 5
    • 0033222264 scopus 로고    scopus 로고
    • Treatment of experimental brain tumors with trombospondin-1 derived peptides: an in vivo imaging study
    • 10.1038/sj.neo.7900044, 1508110, 10933059
    • Bogdanov A, Marecos E, Cheng HC, Chandrasekaran L, Krutzsch HC, Roberts DD, Weissleder R. Treatment of experimental brain tumors with trombospondin-1 derived peptides: an in vivo imaging study. Neoplasia 1999, 1(5):438-445. 10.1038/sj.neo.7900044, 1508110, 10933059.
    • (1999) Neoplasia , vol.1 , Issue.5 , pp. 438-445
    • Bogdanov, A.1    Marecos, E.2    Cheng, H.C.3    Chandrasekaran, L.4    Krutzsch, H.C.5    Roberts, D.D.6    Weissleder, R.7
  • 6
    • 33747196502 scopus 로고    scopus 로고
    • Conjugation of a photosensitizer to an oligoarginine-based cell-penetrating peptide increases the efficacy of photodynamic therapy
    • Choi Y, McCarthy JR, Weissleder R, Tung CH. Conjugation of a photosensitizer to an oligoarginine-based cell-penetrating peptide increases the efficacy of photodynamic therapy. Chem Med Chem 2006, 1(4):458-463.
    • (2006) Chem Med Chem , vol.1 , Issue.4 , pp. 458-463
    • Choi, Y.1    McCarthy, J.R.2    Weissleder, R.3    Tung, C.H.4
  • 7
    • 0036000148 scopus 로고    scopus 로고
    • Near-infrared fluorescent nanoparticles as combined MR/optical imaging probes
    • 10.1021/bc015555d, 12009946
    • Josephson L, Kircher M, Mahmood U, Tang Y, Weissleder Y. Near-infrared fluorescent nanoparticles as combined MR/optical imaging probes. Bioconjug Chem 2002, 13(3):554-560. 10.1021/bc015555d, 12009946.
    • (2002) Bioconjug Chem , vol.13 , Issue.3 , pp. 554-560
    • Josephson, L.1    Kircher, M.2    Mahmood, U.3    Tang, Y.4    Weissleder, Y.5
  • 8
    • 33749265990 scopus 로고    scopus 로고
    • Multivalent effects of RGD peptides obtained by nanoparticle display
    • 10.1021/jm060515m, 17004722
    • Montet X, Funovics M, Montet-Abou K, Weissleder R, Josephson L. Multivalent effects of RGD peptides obtained by nanoparticle display. J Med Chem 2006, 49(20):6087-6093. 10.1021/jm060515m, 17004722.
    • (2006) J Med Chem , vol.49 , Issue.20 , pp. 6087-6093
    • Montet, X.1    Funovics, M.2    Montet-Abou, K.3    Weissleder, R.4    Josephson, L.5
  • 10
    • 35048845151 scopus 로고    scopus 로고
    • Multidimensional Visualization and Navigation in Search Results
    • Arentz WA, Øhrn A. Multidimensional Visualization and Navigation in Search Results. Lecture Notes in Computer Science 2004, 3212:620-629.
    • (2004) Lecture Notes in Computer Science , vol.3212 , pp. 620-629
    • Arentz, W.A.1    Øhrn, A.2
  • 11
    • 33645830920 scopus 로고    scopus 로고
    • What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software
    • What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software. , http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web- 20.html
  • 12
    • 84885373611 scopus 로고    scopus 로고
    • Wikipedia
    • Wikipedia. , http://www.wikipedia.org
  • 14
    • 84888304471 scopus 로고    scopus 로고
    • Peer to Patent, Community Patent Review
    • Peer to Patent, Community Patent Review. , http://www.peertopatent.org
  • 15
    • 34547413727 scopus 로고    scopus 로고
    • "Peer to Patent": Collective Intelligence, Open Review, and Patent Reform
    • Noveck BS. "Peer to Patent": Collective Intelligence, Open Review, and Patent Reform. Harvard Journal of Law & Technology 2006, 20(1):123-162.
    • (2006) Harvard Journal of Law & Technology , vol.20 , Issue.1 , pp. 123-162
    • Noveck, B.S.1
  • 16
    • 36049004436 scopus 로고    scopus 로고
    • Taxonomic reliability of DNA sequences in public sequence databases: a fungal perspective
    • 1762357, 17183689
    • Nilsson RH, Ryberg M, Kristiansson E, Abarenkov K, Larsson KH, Koljalg U. Taxonomic reliability of DNA sequences in public sequence databases: a fungal perspective. PLoS ONE 2006, 1:e59. 1762357, 17183689.
    • (2006) PLoS ONE , vol.1
    • Nilsson, R.H.1    Ryberg, M.2    Kristiansson, E.3    Abarenkov, K.4    Larsson, K.H.5    Koljalg, U.6
  • 17
    • 84881085358 scopus 로고    scopus 로고
    • Preserving accuracy in GenBank
    • Bidartondo MI. Preserving accuracy in GenBank. Science 2008, 319(5870):1616.
    • (2008) Science , vol.319 , Issue.5870 , pp. 1616
    • Bidartondo, M.I.1
  • 18
    • 12244283680 scopus 로고    scopus 로고
    • Modeling the percolation of annotation errors in a database of protein sequences
    • 12490449
    • Gilks WR, Audit B, De Angelis D, Tsoka S, Ouzounis CA. Modeling the percolation of annotation errors in a database of protein sequences. Bioinformatics 2002, 18(12):1641-1649. 12490449., http://bioinformatics.oxfordjournals.org/cgi/content/abstract/18/12/1641
    • (2002) Bioinformatics , vol.18 , Issue.12 , pp. 1641-1649
    • Gilks, W.R.1    Audit, B.2    De Angelis, D.3    Tsoka, S.4    Ouzounis, C.A.5
  • 19
    • 33846056843 scopus 로고    scopus 로고
    • Entrez Gene: gene-centered information at NCBI
    • 1761442, 17148475
    • Maglott D, Ostell J, Pruitt KD, Tatusova T. Entrez Gene: gene-centered information at NCBI. Nucleic Acids Res 2007, (35 Database):D26-31. 1761442, 17148475.
    • (2007) Nucleic Acids Res , vol.Database , Issue.35
    • Maglott, D.1    Ostell, J.2    Pruitt, K.D.3    Tatusova, T.4
  • 26
    • 84888290974 scopus 로고    scopus 로고
    • PLoS ONE
    • PLoS ONE. , http://www.plosone.org
  • 27
    • 84888287075 scopus 로고    scopus 로고
    • CiteULike
    • CiteULike. , http://www.citeulike.org
  • 28
    • 84888289814 scopus 로고    scopus 로고
    • SciVee
    • SciVee. , http://www.scivee.tv
  • 29
    • 34548493473 scopus 로고    scopus 로고
    • Automating document classification for the Immune Epitope Database
    • 1965490, 17655769
    • Wang P, Morgan AA, Zhang Q, Sette A, Peters B. Automating document classification for the Immune Epitope Database. BMC Bioinformatics 2007, 8:269. 1965490, 17655769.
    • (2007) BMC Bioinformatics , vol.8 , pp. 269
    • Wang, P.1    Morgan, A.A.2    Zhang, Q.3    Sette, A.4    Peters, B.5
  • 30
    • 0034575784 scopus 로고    scopus 로고
    • Boosting naive Bayesian learning on a large subset of MEDLINE
    • 11080018, 2244081
    • Wilbur WJ. Boosting naive Bayesian learning on a large subset of MEDLINE. Proc AMIA Symp 2000, 918-922. 11080018, 2244081.
    • (2000) Proc AMIA Symp , pp. 918-922
    • Wilbur, W.J.1
  • 31
    • 0037634427 scopus 로고    scopus 로고
    • The Role of Domain Knowledge in Automating Medical Text Report Classification
    • 181983, 12668687
    • Wilcox AB, Hripcsak G. The Role of Domain Knowledge in Automating Medical Text Report Classification. Journal of the American Medical Informatics Association 2003, 10(4):330. 181983, 12668687.
    • (2003) Journal of the American Medical Informatics Association , vol.10 , Issue.4 , pp. 330
    • Wilcox, A.B.1    Hripcsak, G.2
  • 32
    • 0032886481 scopus 로고    scopus 로고
    • Ad Hoc Classification of Radiology Reports
    • 61382, 10495099
    • Aronow DB, Fangfang F, Croft WB. Ad Hoc Classification of Radiology Reports. J Am Med Inform Assoc 1999, 6:393-411. 61382, 10495099.
    • (1999) J Am Med Inform Assoc , vol.6 , pp. 393-411
    • Aronow, D.B.1    Fangfang, F.2    Croft, W.B.3
  • 34
    • 33748372941 scopus 로고    scopus 로고
    • Automatic document classification of biological literature
    • 1559726, 16893465
    • Chen D, Müller H-M, Sternberg PW. Automatic document classification of biological literature. BMC Bioinformatics 2006, 7:370. 1559726, 16893465.
    • (2006) BMC Bioinformatics , vol.7 , pp. 370
    • Chen, D.1    Müller, H.-.M.2    Sternberg, P.W.3
  • 35
    • 0742306576 scopus 로고    scopus 로고
    • Background and overview for KDD Cup 2002 task 1: information extraction from biomedical articles
    • Yeh A, Hirschman L, Morgan A. Background and overview for KDD Cup 2002 task 1: information extraction from biomedical articles. ACM SIGKDD Explorations Newsletter 2002, 4(2):87-89.
    • (2002) ACM SIGKDD Explorations Newsletter , vol.4 , Issue.2 , pp. 87-89
    • Yeh, A.1    Hirschman, L.2    Morgan, A.3
  • 36
    • 4944235422 scopus 로고    scopus 로고
    • Evaluation of text data mining for database curation: lessons learned from the KDD Challenge Cup
    • 12855478
    • Yeh AS, Hirschman L, Morgan AA. Evaluation of text data mining for database curation: lessons learned from the KDD Challenge Cup. Bioinformatics 2003, 19 Suppl 1:i331-i339. 12855478.
    • (2003) Bioinformatics , Issue.19 SUPPL 1
    • Yeh, A.S.1    Hirschman, L.2    Morgan, A.A.3
  • 37
    • 0037249406 scopus 로고    scopus 로고
    • The FlyBase database of the Drosophila genome projects and community literature
    • 165541, 12519974
    • FlyBase Consortium The FlyBase database of the Drosophila genome projects and community literature. Nucleic Acids Research 2003, 31(1):172-175. 165541, 12519974.
    • (2003) Nucleic Acids Research , vol.31 , Issue.1 , pp. 172-175
  • 38
    • 33750289197 scopus 로고    scopus 로고
    • The TREC 2004 genomics track categorization task: classifying full text biomedical documents
    • 1440303, 16722582
    • Cohen AM, Hersh WR. The TREC 2004 genomics track categorization task: classifying full text biomedical documents. Journal of Biomedical Discovery and Collaboration 2006, 1(1):4. 1440303, 16722582.
    • (2006) Journal of Biomedical Discovery and Collaboration , vol.1 , Issue.1 , pp. 4
    • Cohen, A.M.1    Hersh, W.R.2
  • 39
    • 17244380380 scopus 로고    scopus 로고
    • A survey of current work in biomedical text mining
    • Cohen AM, Hersh WR. A survey of current work in biomedical text mining. Brief Bioinformatics 2005, 6(1):57-71.
    • (2005) Brief Bioinformatics , vol.6 , Issue.1 , pp. 57-71
    • Cohen, A.M.1    Hersh, W.R.2
  • 40
    • 51049088875 scopus 로고    scopus 로고
    • Overview of the protein-protein interaction annotation extraction task of BioCreative II
    • 2559988, 18834495
    • Krallinger M, Leitner F, Rodriguez-Penagos C, Valencia A. Overview of the protein-protein interaction annotation extraction task of BioCreative II. Genome Biol 2008, 9(Suppl 2):S4. 2559988, 18834495.
    • (2008) Genome Biol , vol.9 , Issue.SUPPL 2
    • Krallinger, M.1    Leitner, F.2    Rodriguez-Penagos, C.3    Valencia, A.4
  • 42
    • 4944257920 scopus 로고    scopus 로고
    • Combining NLP and probabilistic categorisation for document and term selection for Swiss-Prot medical annotation
    • Dobrokhotov P, Goutte C, Veuthey A, Gaussier E. Combining NLP and probabilistic categorisation for document and term selection for Swiss-Prot medical annotation. Bioinformatics 2003, 19(90001):91-94.
    • (2003) Bioinformatics , vol.19 , Issue.90001 , pp. 91-94
    • Dobrokhotov, P.1    Goutte, C.2    Veuthey, A.3    Gaussier, E.4
  • 44
    • 33344465511 scopus 로고    scopus 로고
    • Biomedical language processing: what's beyond PubMed?
    • 1702322, 16507357
    • Hunter L, Cohen K. Biomedical language processing: what's beyond PubMed?. Molecular Cell 2006, 21(5):589-594. 1702322, 16507357.
    • (2006) Molecular Cell , vol.21 , Issue.5 , pp. 589-594
    • Hunter, L.1    Cohen, K.2
  • 45
    • 22244459539 scopus 로고    scopus 로고
    • Text-mining and information-retrieval services for molecular biology
    • 1175978, 15998455
    • Krallinger M, Valencia A. Text-mining and information-retrieval services for molecular biology. Genome Biol 2005, 6(7):224. 1175978, 15998455.
    • (2005) Genome Biol , vol.6 , Issue.7 , pp. 224
    • Krallinger, M.1    Valencia, A.2
  • 47
    • 0030801002 scopus 로고    scopus 로고
    • Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
    • 146917, 9254694
    • Altschul S, Madden T, Schaffer A, Zhang J, Zhang Z, Miller W, Lipman D. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Research 1997, 25(17):3389-3402. 146917, 9254694.
    • (1997) Nucleic Acids Research , vol.25 , Issue.17 , pp. 3389-3402
    • Altschul, S.1    Madden, T.2    Schaffer, A.3    Zhang, J.4    Zhang, Z.5    Miller, W.6    Lipman, D.7
  • 49
    • 0025950944 scopus 로고
    • Searching protein sequence libraries: comparison of the sensitivity and selectivity of the Smith-Waterman and FASTA algorithms
    • Pearson W. Searching protein sequence libraries: comparison of the sensitivity and selectivity of the Smith-Waterman and FASTA algorithms. Genomics 1991, 11(3):635-650.
    • (1991) Genomics , vol.11 , Issue.3 , pp. 635-650
    • Pearson, W.1
  • 50
    • 0019887799 scopus 로고
    • Identification of Common Molecular Subsequences
    • Smith T, Waterman M. Identification of Common Molecular Subsequences. J Mol Biol 1981, 147:195-197.
    • (1981) J Mol Biol , vol.147 , pp. 195-197
    • Smith, T.1    Waterman, M.2
  • 51
    • 0003879107 scopus 로고
    • An Introduction to Computational Learning Theory
    • MIT Press
    • Kearns MJ, Vazirani UV. An Introduction to Computational Learning Theory. 1994, MIT Press.
    • (1994)
    • Kearns, M.J.1    Vazirani, U.V.2
  • 52
    • 19944372298 scopus 로고
    • Efficient Distribution-free Learning of Probabilistic Concepts
    • Constraints and Prospect: Bradford/MIT Press, Hanson SJ, Drastal GA, Rivest RL
    • Kearns MJ, Schapire RE. Efficient Distribution-free Learning of Probabilistic Concepts. Learning Theory and Natural Learning Systems 1993, I. Constraints and Prospect: Bradford/MIT Press, Hanson SJ, Drastal GA, Rivest RL.
    • (1993) Learning Theory and Natural Learning Systems , vol.I
    • Kearns, M.J.1    Schapire, R.E.2
  • 54
    • 0042847140 scopus 로고    scopus 로고
    • Inference for the Generalization Error
    • Nadeau C, Bengio Y. Inference for the Generalization Error. Machine Learning 2003, 52(3):239-281.
    • (2003) Machine Learning , vol.52 , Issue.3 , pp. 239-281
    • Nadeau, C.1    Bengio, Y.2
  • 56
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods
    • MIT Press
    • Platt JC. Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods. Advances in Large Margin Classifiers 1999, MIT Press.
    • (1999) Advances in Large Margin Classifiers
    • Platt, J.C.1
  • 57
  • 59
    • 0030284618 scopus 로고    scopus 로고
    • A database perspective on knowledge discovery
    • Imielinski T, Mannila H. A database perspective on knowledge discovery. Communications of the ACM 1996, 39(11):58-64.
    • (1996) Communications of the ACM , vol.39 , Issue.11 , pp. 58-64
    • Imielinski, T.1    Mannila, H.2
  • 60
    • 0038434018 scopus 로고    scopus 로고
    • Inductive logic programming for knowedge discovery in databases
    • Wrobel S. Inductive logic programming for knowedge discovery in databases. Relational Data Mining table of contents 2001, 74-99.
    • (2001) Relational Data Mining table of contents , pp. 74-99
    • Wrobel, S.1
  • 62
    • 84888291377 scopus 로고    scopus 로고
    • Oracle 11 g Text
    • Oracle 11 g Text. , http://www.oracle.com/technology/products/text/
  • 67
    • 0038384383 scopus 로고    scopus 로고
    • On-Line Algorithms in Machine Learning (a survey)
    • Springer, Fiat A, Woeginger G
    • Blum A. On-Line Algorithms in Machine Learning (a survey). Online Algorithms: The State of the Art 1998, Springer, Fiat A, Woeginger G.
    • (1998) Online Algorithms: The State of the Art
    • Blum, A.1
  • 68
    • 33748635165 scopus 로고    scopus 로고
    • Substring selection for biomedical document classification
    • Han B, Obradovic Z, Hu Z-Z, Wu CH, Vucetic S. Substring selection for biomedical document classification. Bioinformatics 2006, 22(17):2136-2142.
    • (2006) Bioinformatics , vol.22 , Issue.17 , pp. 2136-2142
    • Han, B.1    Obradovic, Z.2    Hu, Z.-.Z.3    Wu, C.H.4    Vucetic, S.5
  • 71
    • 0033321433 scopus 로고    scopus 로고
    • Introduction to information extraction
    • Appelt DE. Introduction to information extraction. AI Communications 1999, 12(3):161-172.
    • (1999) AI Communications , vol.12 , Issue.3 , pp. 161-172
    • Appelt, D.E.1
  • 72
    • 26444442807 scopus 로고    scopus 로고
    • Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
    • Witten IH, Frank E. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann 1999,
    • (1999) Morgan Kaufmann
    • Witten, I.H.1    Frank, E.2
  • 73
    • 84886413355 scopus 로고    scopus 로고
    • MySQL 5.0
    • MySQL 5.0. , http://www.mysql.com
  • 74
    • 27144463192 scopus 로고    scopus 로고
    • On Comparing Classifiers: A Critique of Current Research and Methods
    • Salzberg SL. On Comparing Classifiers: A Critique of Current Research and Methods. Data Mining and Knowledge Discovery 1997, 1:317-327.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 317-327
    • Salzberg, S.L.1
  • 75
    • 79951780811 scopus 로고    scopus 로고
    • R: A Language and Environment for Statistical Computing
    • R: A Language and Environment for Statistical Computing. , http://www.r-project.org
  • 76
    • 84888294105 scopus 로고    scopus 로고
    • RWeka: An R Interface to Weka
    • RWeka: An R Interface to Weka. , http://cran.r-project.org
  • 78
    • 34548731194 scopus 로고
    • C4.5: programs for machine learning
    • San Francisco, CA, USA
    • Quinlan JR. C4.5: programs for machine learning. Morgan Kaufmann Publishers Inc 1993, San Francisco, CA, USA.
    • (1993) Morgan Kaufmann Publishers Inc
    • Quinlan, J.R.1
  • 79
    • 0030211964 scopus 로고    scopus 로고
    • Bagging Predictors
    • Breiman L. Bagging Predictors. Machine Learning 1996, 24(2):123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 83
    • 0003120218 scopus 로고    scopus 로고
    • Fast Training of Support Vector Machines using Sequential Minimal Optimization
    • MIT Press, Schölkopf B, Burges C, Smola A
    • Platt J. Fast Training of Support Vector Machines using Sequential Minimal Optimization. Advances in Kernel Methods - Support Vector Learning 1998, MIT Press, Schölkopf B, Burges C, Smola A.
    • (1998) Advances in Kernel Methods - Support Vector Learning
    • Platt, J.1
  • 85
    • 3042530277 scopus 로고
    • The Nature of Statistical Learning Theory
    • Vapnik V. The Nature of Statistical Learning Theory. Springer 1995,
    • (1995) Springer
    • Vapnik, V.1
  • 89
    • 0003684449 scopus 로고    scopus 로고
    • The Elements of Statistical Learning: Data Mining, Inference, and Prediction
    • Hastie T, Tibshirani R, Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2001, 552.
    • (2001) , pp. 552
    • Hastie, T.1    Tibshirani, R.2    Friedman, J.3
  • 90
    • 0034247206 scopus 로고    scopus 로고
    • MultiBoosting: A Technique for Combining Boosting and Wagging
    • Webb GI. MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning 2000, 40(2):159-196.
    • (2000) Machine Learning , vol.40 , Issue.2 , pp. 159-196
    • Webb, G.I.1
  • 91
    • 0032645080 scopus 로고    scopus 로고
    • An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
    • Bauer E, Kohavi R. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. Machine Learning 1999, 36(1):105-139.
    • (1999) Machine Learning , vol.36 , Issue.1 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 92
    • 84888296677 scopus 로고    scopus 로고
    • The Apache Commons Project. Daemon: Java based daemons or services
    • The Apache Commons Project. Daemon: Java based daemons or services. , http://commons.apache.org/daemon/


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