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Volumn 4702 LNAI, Issue , 2007, Pages 6-17

Experiment databases: Towards an improved experimental methodology in machine learning

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SOFTWARE REUSABILITY; LARGE SCALE SYSTEMS; LEARNING SYSTEMS; SOFTWARE TESTING;

EID: 38049132711     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74976-9_5     Document Type: Conference Paper
Times cited : (44)

References (15)
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    • 33745780108 scopus 로고    scopus 로고
    • Experiment databases: A novel methodology for experimental research
    • Bonchi, F, Boulicaut, J.-F, eds, Knowledge Discovery in Inductive Databases, Springer, Heidelberg
    • Blockeel, H.: Experiment databases: A novel methodology for experimental research. In: Bonchi, F., Boulicaut, J.-F. (eds.) Knowledge Discovery in Inductive Databases. LNCS, vol. 3933, pp. 72-85. Springer, Heidelberg (2006)
    • (2006) LNCS , vol.3933 , pp. 72-85
    • Blockeel, H.1
  • 3
    • 29644438050 scopus 로고    scopus 로고
    • Statistical Comparisons of Classifiers over Multiple Data Sets
    • Demšar, J.: Statistical Comparisons of Classifiers over Multiple Data Sets. Journal of Machine Learning Research 7, 1-30 (2006)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demšar, J.1
  • 4
    • 38049185934 scopus 로고    scopus 로고
    • Integrating Decision Tree Learning into Inductive Databases
    • Bonchi, F, Boulicaut, J.-F, eds, Knowledge Discovery in Inductive Databases, Springer, Heidelberg
    • Fromont, E., Blockeel, H., Struyf, J.: Integrating Decision Tree Learning into Inductive Databases. In: Bonchi, F., Boulicaut, J.-F. (eds.) Knowledge Discovery in Inductive Databases. LNCS, vol. 3933, Springer, Heidelberg (2006)
    • (2006) LNCS , vol.3933
    • Fromont, E.1    Blockeel, H.2    Struyf, J.3
  • 5
    • 0027580356 scopus 로고
    • Very simple classification rules perform well on most commonly used datasets
    • Holte, R.: Very simple classification rules perform well on most commonly used datasets. Machine Learning 11, 63-91 (1993)
    • (1993) Machine Learning , vol.11 , pp. 63-91
    • Holte, R.1
  • 6
    • 38049099467 scopus 로고    scopus 로고
    • Hoste, V., Daelemans, W.: Comparing Learning Approaches to Coreference Resolution. There is More to it Than 'Bias'. In: Proceedings of the Workshop on Meta-Learning (ICML- 2005) pp. 20-27 (2005)
    • Hoste, V., Daelemans, W.: Comparing Learning Approaches to Coreference Resolution. There is More to it Than 'Bias'. In: Proceedings of the Workshop on Meta-Learning (ICML- 2005) pp. 20-27 (2005)
  • 7
    • 0033705380 scopus 로고    scopus 로고
    • Building Algorithm Profiles for prior Model Selection in Knowledge Discovery Systems
    • Kalousis, A., Hilario, M.: Building Algorithm Profiles for prior Model Selection in Knowledge Discovery Systems. Engineering Intelligent Systems 8(2) (2000)
    • (2000) Engineering Intelligent Systems , vol.8 , Issue.2
    • Kalousis, A.1    Hilario, M.2
  • 9
    • 84949799605 scopus 로고    scopus 로고
    • Peng, Y., et al.: Improved Dataset Characterisation for Meta-Learning. In: Lange, S., Satoh, K., Smith, C.H. (eds.) DS 2002. LNCS, 2534, pp. 141-152. Springer, Heidelberg (2002)
    • Peng, Y., et al.: Improved Dataset Characterisation for Meta-Learning. In: Lange, S., Satoh, K., Smith, C.H. (eds.) DS 2002. LNCS, vol. 2534, pp. 141-152. Springer, Heidelberg (2002)
  • 11
    • 38049102075 scopus 로고    scopus 로고
    • METAL-consortium: METAL Data Mining Advisor, http://www.metal-kdd.org
    • METAL-consortium: METAL Data Mining Advisor, http://www.metal-kdd.org
  • 13
    • 84867758442 scopus 로고    scopus 로고
    • Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications
    • Paliouras, G, Karkaletsis, V, Spyropoulos, C.D, eds, Machine Learning and Its Applications, Springer, Heidelberg
    • Van Someren, M.: Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications. In: Paliouras, G., Karkaletsis, V., Spyropoulos, C.D. (eds.) Machine Learning and Its Applications. LNCS (LNAI), vol. 2049, pp. 196-217. Springer, Heidelberg (2001)
    • (2001) LNCS (LNAI , vol.2049 , pp. 196-217
    • Van Someren, M.1
  • 15
    • 38049147230 scopus 로고    scopus 로고
    • Wolpert, D., Macready, W.: No free lunch theorems for search. SFI-TR-95-02-010 Santa Fe Institute (1995)
    • Wolpert, D., Macready, W.: No free lunch theorems for search. SFI-TR-95-02-010 Santa Fe Institute (1995)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.