메뉴 건너뛰기




Volumn , Issue , 2017, Pages 93-98

Light curve analysis from kepler spacecraft collected data

Author keywords

Astronomy; Big Data; Pattern recognition; Photometry; Random forests; Space; Support vector machines

Indexed keywords

ASTRONOMY; DATA MINING; DECISION TREES; PATTERN RECOGNITION; PHOTOMETRY; SUPPORT VECTOR MACHINES; VECTOR SPACES;

EID: 85021807271     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3078971.3080544     Document Type: Conference Paper
Times cited : (4)

References (39)
  • 3
    • 84950237401 scopus 로고    scopus 로고
    • Discovering hospital admission pa.erns using models learnt from electronic hospital records
    • O. Arandjelović. Discovering hospital admission pa.erns using models learnt from electronic hospital records. Bioinformatics, 31(24):3970-3976, 2015.
    • (2015) Bioinformatics , vol.31 , Issue.24 , pp. 3970-3976
    • Arandjelović, O.1
  • 5
    • 84994634206 scopus 로고    scopus 로고
    • Weighted linear fusion of multimodal data - A reasonable baseline?
    • O. Arandjelović. Weighted linear fusion of multimodal data - a reasonable baseline? In Proc. ACM Conference on Multimedia, pages 851-857, 2016.
    • (2016) Proc. ACM Conference on Multimedia , pp. 851-857
    • Arandjelović, O.1
  • 10
    • 0034231872 scopus 로고    scopus 로고
    • Sadness and susceptibility to judgmental bias: The case of anchoring
    • G. V. Bodenhausen, S. Gabriel, and M. Lineberger. Sadness and susceptibility to judgmental bias: The case of anchoring. Psychological Science, 11(4):320-323, 2000.
    • (2000) Psychological Science , vol.11 , Issue.4 , pp. 320-323
    • Bodenhausen, G.V.1    Gabriel, S.2    Lineberger, M.3
  • 11
    • 77149129551 scopus 로고    scopus 로고
    • Kepler planet-detection mission: Introduction and first results
    • W. J. Borucki, D. Koch, G. Basri, N. Batalha, and et al. Kepler planet-detection mission: introduction and first results. Science, 327(5968):977-980, 2010.
    • (2010) Science , vol.327 , Issue.5968 , pp. 977-980
    • Borucki, W.J.1    Koch, D.2    Basri, G.3    Batalha, N.4
  • 12
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman. Bagging predictors. Machine Learning, 24(2):123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 13
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 15
    • 78649725192 scopus 로고    scopus 로고
    • Pandemics in the age of Twi.er: Content analysis of Tweets during the 2009 H1N1 outbreak
    • C. Chew and G. Eysenbach. Pandemics in the age of Twi.er: content analysis of Tweets during the 2009 H1N1 outbreak. PLOS ONE, 5(11):e14118, 2010.
    • (2010) PLOS ONE , vol.5 , Issue.11 , pp. e14118
    • Chew, C.1    Eysenbach, G.2
  • 20
    • 84896810039 scopus 로고    scopus 로고
    • 5G: Personal mobile internet beyond what cellular did to telephony
    • G. Feffweis and S. Alamouti. 5G: personal mobile internet beyond what cellular did to telephony. IEEE Communications Magazine, 52(2):140-145, 2014.
    • (2014) IEEE Communications Magazine , vol.52 , Issue.2 , pp. 140-145
    • Feffweis, G.1    Alamouti, S.2
  • 24
    • 59549087165 scopus 로고    scopus 로고
    • On discriminative vs. Generative classifiers: A comparison of logistic regression and naive Bayes
    • A. Jordan. On discriminative vs. generative classifiers: a comparison of logistic regression and naive Bayes. Advances in Neural Information Processing Systems, 14:841, 2002.
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 841
    • Jordan, A.1
  • 25
    • 4043166337 scopus 로고    scopus 로고
    • Detecting clusters of galaxies in the sloan digital sky survey I: Monte Carlo comparison of cluster detection algorithms
    • R. S. J. Kim, J. V. Kepner, M. Postman, M. A. Strauss, and et al. Detecting clusters of galaxies in the sloan digital sky survey I: Monte Carlo comparison of cluster detection algorithms. The Astronomical Journal, 123(1):20pp., 2002.
    • (2002) The Astronomical Journal , vol.123 , Issue.1 , pp. 20
    • Kim, R.S.J.1    Kepner, J.V.2    Postman, M.3    Strauss, M.A.4
  • 26
    • 84893267530 scopus 로고    scopus 로고
    • Scaling big data mining infrastructure: The Twifier experience
    • J. Lin and D. Ryaboy. Scaling big data mining infrastructure: the Twifier experience. ACM SIGKDD Explorations Newsle.er, 14(2):6-19, 2013.
    • (2013) ACM SIGKDD Explorations Newsle.er , vol.14 , Issue.2 , pp. 6-19
    • Lin, J.1    Ryaboy, D.2
  • 29
    • 0001500115 scopus 로고
    • Functions of positive and negative type and their connection with the theory of integral equations
    • J. Mercer. Functions of positive and negative type and their connection with the theory of integral equations. Philosophical Transactions of the Royal Society A, 209:415-446, 1909.
    • (1909) Philosophical Transactions of the Royal Society A , vol.209 , pp. 415-446
    • Mercer, J.1
  • 30
    • 78650495544 scopus 로고    scopus 로고
    • Drug safety surveillance using de-identified EMR and claims data: Issues and challenges
    • P. M. Nadkarni. Drug safety surveillance using de-identified EMR and claims data: issues and challenges. J Am Med Inform Assoc, 17(6):671-674, 2010.
    • (2010) J Am Med Inform Assoc , vol.17 , Issue.6 , pp. 671-674
    • Nadkarni, P.M.1
  • 33
    • 84991818987 scopus 로고    scopus 로고
    • Data science and its relationship to big data and data-driven decision making
    • F. Provost and T. Fawce. Data science and its relationship to big data and data-driven decision making. Big Data, 1(1):51-59, 2013.
    • (2013) Big Data , vol.1 , Issue.1 , pp. 51-59
    • Provost, F.1    Fawce, T.2
  • 35
    • 81455133785 scopus 로고    scopus 로고
    • Extreme data-intensive scientific computing
    • A. Szalay. Extreme data-intensive scientific computing. Computing in Science & Engineering, 13(6):34-41, 2011.
    • (2011) Computing in Science & Engineering , vol.13 , Issue.6 , pp. 34-41
    • Szalay, A.1
  • 38
    • 80052660676 scopus 로고    scopus 로고
    • Dual coordinate descent methods for logistic regression and maximum entropy models
    • H.-F. Yu, F.-L. Huang, and C.-J. Lin. Dual coordinate descent methods for logistic regression and maximum entropy models. Machine Learning, 85(1-2):41-75, 2011.
    • (2011) Machine Learning , vol.85 , Issue.1-2 , pp. 41-75
    • Yu, H.-F.1    Huang, F.-L.2    Lin, C.-J.3
  • 39
    • 0003259364 scopus 로고    scopus 로고
    • Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
    • B. Zadrozny and C. Elkan. Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. In Proc. IMLS International Conference on Machine Learning, 1:609-616, 2001.
    • (2001) Proc. IMLS International Conference on Machine Learning , vol.1 , pp. 609-616
    • Zadrozny, B.1    Elkan, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.