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Volumn , Issue , 2004, Pages 113-120

Estimating replicability of classifier learning experiments

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; DATA PROCESSING; DECISION THEORY; ERROR ANALYSIS; ERRORS; ESTIMATION; LEARNING ALGORITHMS; PROBABILITY; RANDOM PROCESSES; SAMPLING; STATISTICAL TESTS;

EID: 14544275490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (32)

References (9)
  • 2
    • 1942452791 scopus 로고    scopus 로고
    • Choosing between two learning algorithms based on calibrated tests
    • R.R. Bouckaert. Choosing between two learning algorithms based on calibrated tests. ICML, 51-58, 2003.
    • (2003) ICML , pp. 51-58
    • Bouckaert, R.R.1
  • 3
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical tests for comparing supervised classification learning algorithms
    • T.G. Dietterich. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms. Neural Computation, 10(7) 1895-1924, 1998.
    • (1998) Neural Computation , vol.10 , Issue.7 , pp. 1895-1924
    • Dietterich, T.G.1
  • 5
    • 0000468432 scopus 로고
    • Estimating continuous distributions in bayesian classifiers
    • G.H. John and Pat Langley. Estimating Continuous Distributions in Bayesian Classifiers. UAI, 338-345, 1995.
    • (1995) UAI , pp. 338-345
    • John, G.H.1    Langley, P.2
  • 8
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: Pitfalls to avoid and a recommended approach
    • S. Salzberg. On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach. Data Mining and Knowledge Discovery 1:3, 317-327, 1997.
    • (1997) Data Mining and Knowledge Discovery , vol.1-3 , pp. 317-327
    • Salzberg, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.