Sets of approximating functions with finite Vapnik-Chervonenkis dimension for nearest-neighbors algorithms
暂无分享,去创建一个
[1] Pascal Vincent,et al. K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms , 2001, NIPS.
[2] Vladimir Cherkassky,et al. Learning from data , 1998 .
[3] Jon Louis Bentley,et al. An Algorithm for Finding Best Matches in Logarithmic Expected Time , 1977, TOMS.
[4] S. T. Buckland,et al. Computer Intensive Statistical Methods: Validation, Model Selection, and Bootstrap , 1993 .
[5] John Shawe-Taylor,et al. A framework for structural risk minimisation , 1996, COLT '96.
[6] Przemyslaw Klesk,et al. Maximal Margin Estimation with Perceptron-Like Algorithm , 2008, ICAISC.
[7] Peter L. Bartlett,et al. Rademacher and Gaussian Complexities: Risk Bounds and Structural Results , 2003, J. Mach. Learn. Res..
[8] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[9] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[10] Ronald L. Graham,et al. Concrete mathematics - a foundation for computer science , 1991 .
[11] Dana Ron,et al. Algorithmic Stability and Sanity-Check Bounds for Leave-One-Out Cross-Validation , 1997, Neural Computation.
[12] Peter L. Bartlett,et al. Neural Network Learning - Theoretical Foundations , 1999 .
[13] Teuvo Kohonen,et al. The self-organizing map , 1990 .
[14] Martin E. Hellman,et al. Probability of error, equivocation, and the Chernoff bound , 1970, IEEE Trans. Inf. Theory.
[15] Jon Louis Bentley,et al. Multidimensional binary search trees used for associative searching , 1975, CACM.
[16] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[17] Yann LeCun,et al. Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation , 2012, Neural Networks: Tricks of the Trade.
[18] Bernd Jähne,et al. Practical handbook on image processing for scientific and technical applications , 2004 .
[19] László Györfi,et al. A Probabilistic Theory of Pattern Recognition , 1996, Stochastic Modelling and Applied Probability.
[20] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[21] Bernard Victorri,et al. Transformation invariance in pattern recognition: Tangent distance and propagation , 2000 .
[22] Weifeng Liu,et al. Adaptive and Learning Systems for Signal Processing, Communication, and Control , 2010 .