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Volumn 66, Issue 2-3, 2007, Pages 209-241

Optimal dyadic decision trees

Author keywords

Adaptive convergence rate; Classification; Decision tree; Density estimation; Oracle inequality

Indexed keywords

ALGORITHMS; DATA REDUCTION; LEARNING SYSTEMS;

EID: 33847623752     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-007-0717-6     Document Type: Article
Times cited : (37)

References (22)
  • 1
    • 0001276534 scopus 로고
    • An algorithm for the organization of information
    • Adelson-Velskii, G. M., & Landis, E. M. (1962). An algorithm for the organization of information. Soviet Math. Doclady, 3, 1259-1263.
    • (1962) Soviet Math. Doclady , vol.3 , pp. 1259-1263
    • Adelson-Velskii, G.M.1    Landis, E.M.2
  • 3
    • 0000404653 scopus 로고
    • Approximation of density functions by sequences of exponential families
    • Barron, A., & Sheu, C. (1991). Approximation of density functions by sequences of exponential families. Annals of Statistics, 19, 1347-1369.
    • (1991) Annals of Statistics , vol.19 , pp. 1347-1369
    • Barron, A.1    Sheu, C.2
  • 5
    • 1542351222 scopus 로고    scopus 로고
    • Different paradigms for choosing sequential reweighting algorithms
    • Blanchard, G. (2004). Different paradigms for choosing sequential reweighting algorithms. Neural Computation, 16, 811-836.
    • (2004) Neural Computation , vol.16 , pp. 811-836
    • Blanchard, G.1
  • 6
    • 9444271243 scopus 로고    scopus 로고
    • Statistical performance of support vector machines
    • Submitted manuscript
    • Blanchard, G., Bousquet, O., & Massart, P. (2004). Statistical performance of support vector machines. Submitted manuscript.
    • (2004)
    • Blanchard, G.1    Bousquet, O.2    Massart, P.3
  • 7
    • 9444269346 scopus 로고    scopus 로고
    • Blanchard, G., Schäfer, C., & Rozenholc, Y. (2004). Oracle bounds and exact algorithm for dyadic classification trees. In J. Shawe-Taylor & Y. Singer (Eds.), Proceedings of the 17th Conference on Learning Theory (COLT 2004), number 3210 in lectures notes in artificial intelligence (pp. 378-392). Springer.
    • Blanchard, G., Schäfer, C., & Rozenholc, Y. (2004). Oracle bounds and exact algorithm for dyadic classification trees. In J. Shawe-Taylor & Y. Singer (Eds.), Proceedings of the 17th Conference on Learning Theory (COLT 2004), number 3210 in lectures notes in artificial intelligence (pp. 378-392). Springer.
  • 8
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. (2001). Random forests. Machine Learning, 45, 5-32.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 10
    • 0034654759 scopus 로고    scopus 로고
    • Histograms selection with an Akaike type criterion
    • Castellan, G. (2000). Histograms selection with an Akaike type criterion. C. R. Acad. Sci., Paris, Sér. I, Math., 330(8), 729-732.
    • (2000) C. R. Acad. Sci., Paris, Sér. I, Math , vol.330 , Issue.8 , pp. 729-732
    • Castellan, G.1
  • 12
    • 33847669511 scopus 로고    scopus 로고
    • Devroye, L., Györfi, L., & Lugosi, G. (1996). A Probabilistic Theory of Pattern Recognition. Number 31 in Applications of Mathematics. New York: Springer.
    • Devroye, L., Györfi, L., & Lugosi, G. (1996). A Probabilistic Theory of Pattern Recognition. Number 31 in Applications of Mathematics. New York: Springer.
  • 13
    • 0031508912 scopus 로고    scopus 로고
    • Cart and best-ortho-basis: A connection
    • Donoho, D. (1997). Cart and best-ortho-basis: A connection. Annals of Statistics, 25, 1870-1911.
    • (1997) Annals of Statistics , vol.25 , pp. 1870-1911
    • Donoho, D.1
  • 16
    • 9444235259 scopus 로고    scopus 로고
    • Multivariate histograms with data-dependent partitions
    • Technical report, Institut für angewandte Mathematik, Universität Heidelberg
    • Klemelä, J. (2003). Multivariate histograms with data-dependent partitions. Technical report, Institut für angewandte Mathematik, Universität Heidelberg.
    • (2003)
    • Klemelä, J.1
  • 17
    • 0000595627 scopus 로고    scopus 로고
    • Some applications of concentration inequalities in statistics
    • Massart, P. (2000). Some applications of concentration inequalities in statistics. Ann. Fac. Sci. Toulouse Math., 9(2), 245-303.
    • (2000) Ann. Fac. Sci. Toulouse Math , vol.9 , Issue.2 , pp. 245-303
    • Massart, P.1
  • 20
    • 0342502195 scopus 로고    scopus 로고
    • Rätsch, G., Onoda, T., & Müller, K.-R. (2001). Soft margins for AdaBoost. Machine Learning, 42(3), 287-320. also NeuroCOLT Technical Report NC-TR-1998-021.
    • Rätsch, G., Onoda, T., & Müller, K.-R. (2001). Soft margins for AdaBoost. Machine Learning, 42(3), 287-320. also NeuroCOLT Technical Report NC-TR-1998-021.
  • 21
    • 27744464536 scopus 로고    scopus 로고
    • Near-minimax optimal classification with dyadic classification trees
    • S. Thrun, L. Saul & B. Schölkopf Eds, Cambridge, MA: MIT Press
    • Scott, C., & Nowak, R. (2004). Near-minimax optimal classification with dyadic classification trees. In S. Thrun, L. Saul & B. Schölkopf (Eds.), Advances in neural information processing systems 16. Cambridge, MA: MIT Press.
    • (2004) Advances in neural information processing systems 16
    • Scott, C.1    Nowak, R.2
  • 22
    • 33645724205 scopus 로고    scopus 로고
    • Minimax optimal classification with dyadic decision trees
    • Scott, C., & Nowak, R. (2006). Minimax optimal classification with dyadic decision trees. IEEE Transactions on Information Theory, 52(4), 1335-1353.
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.4 , pp. 1335-1353
    • Scott, C.1    Nowak, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.