메뉴 건너뛰기




Volumn 6, Issue 1, 2003, Pages 65-77

Input decimated ensembles

Author keywords

Classification; Combining classifier; Correlation reduction; Dimensionality reduction; Ensembles; Feature selection

Indexed keywords


EID: 0038808753     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-002-0181-7     Document Type: Article
Times cited : (70)

References (52)
  • 1
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L (1996) Bagging predictors. Machine Learning 24(2): 123-140
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 3
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert DH (1992) Stacked generalization. Neural Networks 5:241-259
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.H.1
  • 4
    • 0029372769 scopus 로고
    • Method for combining experts' probability assessments
    • Jacobs R (1995) Method for combining experts' probability assessments. Neural Computation 7(5):867-888
    • (1995) Neural Computation , vol.7 , Issue.5 , pp. 867-888
    • Jacobs, R.1
  • 5
    • 0038391123 scopus 로고
    • Bias, variance, and the combination of estimators; The case of least linear squares
    • Tesauro G, Touretzky DS, Leen TK (eds), MIT Press
    • Meir R (1995) Bias, variance, and the combination of estimators; the case of least linear squares. In: Tesauro G, Touretzky DS, Leen TK (eds) Advances in Neural Information Processing Systems-7, MIT Press 295-302
    • (1995) Advances in Neural Information Processing Systems-7 , pp. 295-302
    • Meir, R.1
  • 10
  • 11
    • 0032139235 scopus 로고    scopus 로고
    • The random space method for constructing decision forests
    • Ho TK (1998) The random space method for constructing decision forests. IEEE Trans Patt Anal Machine Intell 20(8):832-844
    • (1998) IEEE Trans Patt Anal Machine Intell , vol.20 , Issue.8 , pp. 832-844
    • Ho, T.K.1
  • 13
    • 0030085913 scopus 로고    scopus 로고
    • Analysis of decision boundaries in linearly combined neural classifiers
    • Tumer K, Ghosh J (1996) Analysis of decision boundaries in linearly combined neural classifiers. Patt Recogn 29(2):341-348
    • (1996) Patt Recogn , vol.29 , Issue.2 , pp. 341-348
    • Tumer, K.1    Ghosh, J.2
  • 15
    • 0031361611 scopus 로고
    • Machine learning research: Four current directions
    • Dietterich TG (1988) Machine learning research: four current directions. AI Magazine 18(4):97-136
    • (1988) AI Magazine , vol.18 , Issue.4 , pp. 97-136
    • Dietterich, T.G.1
  • 17
    • 0004114283 scopus 로고
    • PROBEN1 - A set of benchmarks and benchmarking rules for neural network training algorithms
    • Fakultdt ffir Informatik, Universitdt Karlsruhe, D-76128 Karlsruhe, Germany, September 1994. Anonymous on ftp.ira.uka.de
    • Prechelt L (1994) PROBEN1 - A set of benchmarks and benchmarking rules for neural network training algorithms. Technical Report 21/94, Fakultdt ffir Informatik, Universitdt Karlsruhe, D-76128 Karlsruhe, Germany, September 1994. Anonymous FTP:/pub/papers/techreports/1994/1994-21.ps.Z on ftp.ira.uka.de
    • (1994) Technical Report , vol.21
    • Prechelt, L.1
  • 22
    • 0001595997 scopus 로고
    • Neural network classifiers estimate Bayesian a posteriori probabilities
    • Richard MD, Lippmann RP (1991) Neural network classifiers estimate Bayesian a posteriori probabilities. Neural Computation 3(4):461-483
    • (1991) Neural Computation , vol.3 , Issue.4 , pp. 461-483
    • Richard, M.D.1    Lippmann, R.P.2
  • 24
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via errorcorrecting output codes
    • Dietterich TG, Bakiri G (1995) Solving multiclass learning problems via errorcorrecting output codes. J Artif Intell Res 2:263-286
    • (1995) J Artif Intell Res , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 25
    • 0032675169 scopus 로고    scopus 로고
    • A principal component approach to combining regression estimates
    • Merz CJ (1999) A principal component approach to combining regression estimates. Machine Learning 36:9-32
    • (1999) Machine Learning , vol.36 , pp. 9-32
    • Merz, C.J.1
  • 26
    • 85156192015 scopus 로고    scopus 로고
    • Generating accurate and diverse members of a neural-network ensemble
    • Touretzky DS, Mozer MC, Hasselmo ME (eds), MIT Press
    • Opitz DW, Shavlik JW (1996) Generating accurate and diverse members of a neural-network ensemble. In: Touretzky DS, Mozer MC, Hasselmo ME (eds) Advances in Neural Information Processing Systems-8, MIT Press 535-541
    • (1996) Advances in Neural Information Processing Systems-8 , pp. 535-541
    • Opitz, D.W.1    Shavlik, J.W.2
  • 29
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation and active learning
    • Tesauro G, Touretzky DS, Leen TK (eds), MIT Press
    • Krogh A, Vedelsby J (1995) Neural network ensembles, cross validation and active learning. In: Tesauro G, Touretzky DS, Leen TK (eds) Advances in Neural Information Processing Systems-7, MIT Press 231-238
    • (1995) Advances in Neural Information Processing Systems-7 , pp. 231-238
    • Krogh, A.1    Vedelsby, J.2
  • 31
    • 0000466122 scopus 로고    scopus 로고
    • Survey on independent component analysis
    • Hyvarinen A (1999) Survey on independent component analysis. Neural Comput Surv 2:94-128
    • (1999) Neural Comput Surv , vol.2 , pp. 94-128
    • Hyvarinen, A.1
  • 32
    • 0031270961 scopus 로고    scopus 로고
    • Sammon's mapping using neural networks: A comparison
    • de Ridder D, Duin RPW (1997) Sammon's mapping using neural networks: A comparison. Patt Recogn Lett 18:1307-1316
    • (1997) Patt Recogn Lett , vol.18 , pp. 1307-1316
    • De Ridder, D.1    Duin, R.P.W.2
  • 33
    • 0003317812 scopus 로고
    • Fast non-linear dimension reduction
    • Cowan JD, Tesauro G, Alspector J (eds), Morgan Kaufmann
    • Kambhatla N, Leen TK (1994) Fast non-linear dimension reduction. In: Cowan JD, Tesauro G, Alspector J (eds) Advances in Neural Information Processing Systems-6, Morgan Kaufmann 152-153
    • (1994) Advances in Neural Information Processing Systems-6 , pp. 152-153
    • Kambhatla, N.1    Leen, T.K.2
  • 34
    • 0348139702 scopus 로고    scopus 로고
    • Dimension reduction by local principal component analysis
    • Kambhatla N, Leen TK (1997) Dimension reduction by local principal component analysis. Neural Computation 9:1493
    • (1997) Neural Computation , vol.9 , pp. 1493
    • Kambhatla, N.1    Leen, T.K.2
  • 36
    • 0026954958 scopus 로고
    • Pricipal components, minor components, and linear neural networks
    • Oja E (1992) Pricipal components, minor components, and linear neural networks. Neural Networks 5:927-936
    • (1992) Neural Networks , vol.5 , pp. 927-936
    • Oja, E.1
  • 37
    • 84887006810 scopus 로고
    • A nonlinear mapping for data structure analysis
    • Sammon Jr JR (1969) A nonlinear mapping for data structure analysis. IEEE Trans Comput 18:401-409
    • (1969) IEEE Trans Comput , vol.18 , pp. 401-409
    • Sammon J.R., Jr.1
  • 40
    • 0028468293 scopus 로고
    • Using mutual information for selecting features in supervised neural net learning
    • Battiti R (1994) Using mutual information for selecting features in supervised neural net learning. IEEE Trans Neural Networks 5(4):537-550
    • (1994) IEEE Trans Neural Networks , vol.5 , Issue.4 , pp. 537-550
    • Battiti, R.1
  • 41
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Blum A, Langley P (1997) Selection of relevant features and examples in machine learning. Artif Intell 97:245-272
    • (1997) Artif Intell , vol.97 , pp. 245-272
    • Blum, A.1    Langley, P.2
  • 43
    • 0001920992 scopus 로고    scopus 로고
    • Human expert-level performance on a scientific image analysis task by a system using combined artificial neural networks
    • Cherkauer KJ (1996) Human expert-level performance on a scientific image analysis task by a system using combined artificial neural networks. Working Notes of the AAAI Workshop on Integrating Multiple Learned Models 15-21
    • (1996) Working Notes of the AAAI Workshop on Integrating Multiple Learned Models , pp. 15-21
    • Cherkauer, K.J.1
  • 44
    • 0031069985 scopus 로고    scopus 로고
    • Context-sensitive feature selection for lazy learners
    • Domingos P (1997) Context-sensitive feature selection for lazy learners. Artif Intell Rev 11:227-253
    • (1997) Artif Intell Rev , vol.11 , pp. 227-253
    • Domingos, P.1
  • 48
    • 0018433475 scopus 로고
    • On the classification of underwater acoustic signals: An environmentally adaptive approach
    • Denser L, Middleton D (1979) On the classification of underwater acoustic signals: An environmentally adaptive approach. Acoust Soc Am 65:438-443
    • (1979) Acoust Soc Am , vol.65 , pp. 438-443
    • Denser, L.1    Middleton, D.2
  • 49
    • 0026939766 scopus 로고
    • A neural network based hybrid system for detection, characterization and classification of short-duration oceanic signals
    • Ghosh J, Denser L, Beck S (1992) A neural network based hybrid system for detection, characterization and classification of short-duration oceanic signals, IEEE J Ocean Eng 17(4):351-363
    • (1992) IEEE J Ocean Eng , vol.17 , Issue.4 , pp. 351-363
    • Ghosh, J.1    Denser, L.2    Beck, S.3
  • 51
    • 0000175307 scopus 로고
    • Training knowledge-based neural networks to recognize genes in DNA sequences
    • Lippmann RP, Moody JE, Touretzky DS (eds), Morgan Kaufmann
    • Noordewier MO, Towell GG, Shavlik JW (1991) Training knowledge-based neural networks to recognize genes in DNA sequences. In: Lippmann RP, Moody JE, Touretzky DS (eds) Advances in Neural Information Processing Systems-3, Morgan Kaufmann 530-536
    • (1991) Advances in Neural Information Processing Systems-3 , pp. 530-536
    • Noordewier, M.O.1    Towell, G.G.2    Shavlik, J.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.