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Volumn 5212 LNAI, Issue PART 2, 2008, Pages 298-312

A novel scalable and data efficient feature subset selection algorithm

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; DATABASE SYSTEMS; LEARNING SYSTEMS; RANDOM VARIABLES; ROBOT LEARNING;

EID: 56049103605     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87481-2_20     Document Type: Conference Paper
Times cited : (30)

References (17)
  • 4
    • 34548559167 scopus 로고    scopus 로고
    • Speculative markov blanket discovery for optimal feature selection
    • Yaramakala, S., Margaritis, D.: Speculative markov blanket discovery for optimal feature selection. In: ICDM, pp. 809-812 (2005)
    • (2005) ICDM , pp. 809-812
    • Yaramakala, S.1    Margaritis, D.2
  • 6
    • 56049107902 scopus 로고    scopus 로고
    • Cheng, J., Hatzis, C., Hayashi, H., Krogel, M., Morishita, S., Page, D., Sese, J.: KDD Cup 2001 Report. In: ACM SIGKDD Explorations, pp. 1-18 (2002)
    • Cheng, J., Hatzis, C., Hayashi, H., Krogel, M., Morishita, S., Page, D., Sese, J.: KDD Cup 2001 Report. In: ACM SIGKDD Explorations, pp. 1-18 (2002)
  • 8
    • 33746035971 scopus 로고    scopus 로고
    • The max-min hill-climbing bayesian network structure learning algorithm
    • Tsamardinos, I., Brown, L.E., Aliferis, C.F.: The max-min hill-climbing bayesian network structure learning algorithm. Machine Learning 65(1), 31-78 (2006)
    • (2006) Machine Learning , vol.65 , Issue.1 , pp. 31-78
    • Tsamardinos, I.1    Brown, L.E.2    Aliferis, C.F.3
  • 10
    • 56049103330 scopus 로고    scopus 로고
    • Yaramakala, S.: Fast markov blanket discovery. In MS-Thesis. Iowa State University (2004)
    • Yaramakala, S.: Fast markov blanket discovery. In MS-Thesis. Iowa State University (2004)
  • 13
    • 33746065283 scopus 로고    scopus 로고
    • Learning bayesian networks in semi-deterministic systems
    • Luo, W.: Learning bayesian networks in semi-deterministic systems. In: Canadian Conference on AI, pp. 230-241 (2006)
    • (2006) Canadian Conference on AI , pp. 230-241
    • Luo, W.1
  • 14
    • 50149117803 scopus 로고    scopus 로고
    • A novel bayesian network structure learning algorithm based on minimal correlated itemset mining techniques
    • Kebaili, Z., Aussem, A.: A novel bayesian network structure learning algorithm based on minimal correlated itemset mining techniques. In: IEEE Int. Conference on Digital Information Management ICDIM 2007, pp. 121-126 (2007)
    • (2007) IEEE Int. Conference on Digital Information Management ICDIM , pp. 121-126
    • Kebaili, Z.1    Aussem, A.2
  • 15
    • 35148828600 scopus 로고    scopus 로고
    • Aussem, A., de Morais, S.R., Corbex, M.: Nasopharyngeal carcinoma data analysis with a novel bayesian network skeleton learning. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds.) AIME 2007. LNCS (LNAI), 4594, pp. 326-330. Springer, Heidelberg (2007)
    • Aussem, A., de Morais, S.R., Corbex, M.: Nasopharyngeal carcinoma data analysis with a novel bayesian network skeleton learning. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds.) AIME 2007. LNCS (LNAI), vol. 4594, pp. 326-330. Springer, Heidelberg (2007)
  • 16
    • 84887014299 scopus 로고    scopus 로고
    • Handling almost-deterministic relationships in constraint-based bayesian network discovery: Application to cancer risk factor identification
    • Rodrigues de Morais, S., Aussem, A., Corbex, M.: Handling almost-deterministic relationships in constraint-based bayesian network discovery: Application to cancer risk factor identification. In: 16th European Symposium on Artificial Neural Networks ESANN 2008, pp. 101-106 (2008)
    • (2008) 16th European Symposium on Artificial Neural Networks ESANN , pp. 101-106
    • Rodrigues de Morais, S.1    Aussem, A.2    Corbex, M.3


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