Constrained versions of Sauer's lemma
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[1] B. Bollobás. Surveys in Combinatorics , 1979 .
[2] David Haussler,et al. ɛ-nets and simplex range queries , 1987, Discret. Comput. Geom..
[3] B. Bollobás. Combinatorics: Set Systems, Hypergraphs, Families of Vectors and Combinatorial Probability , 1986 .
[4] J Ratsaby,et al. On the Complexity of Good Samples for Learning , 2003 .
[5] Feller William,et al. An Introduction To Probability Theory And Its Applications , 1950 .
[6] Ronald L. Graham,et al. Concrete mathematics - a foundation for computer science (2. ed.) , 1994 .
[7] Peter L. Bartlett,et al. Neural Network Learning - Theoretical Foundations , 1999 .
[8] Emil Grosswald,et al. The Theory of Partitions , 1984 .
[9] de Ng Dick Bruijn. A combinatorial problem , 1946 .
[10] David Haussler,et al. Sphere Packing Numbers for Subsets of the Boolean n-Cube with Bounded Vapnik-Chervonenkis Dimension , 1995, J. Comb. Theory, Ser. A.
[11] D. Pollard. Convergence of stochastic processes , 1984 .
[12] János Pach,et al. Combinatorial Geometry , 2012 .
[13] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[14] Philip M. Long,et al. A Generalization of Sauer's Lemma , 1995, J. Comb. Theory A.
[15] L. Gordon,et al. Poisson Approximation and the Chen-Stein Method , 1990 .
[16] Andrew D. Barbour,et al. Compound Poisson approximation: a user's guide , 2001 .
[17] Vladimir Vapnik,et al. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities , 1971 .
[18] Małgorzata Roos,et al. Runs and Scans With Applications , 2001 .
[19] S. Shelah. A combinatorial problem; stability and order for models and theories in infinitary languages. , 1972 .
[20] Martin Anthony,et al. Maximal width learning of binary functions , 2010, Theor. Comput. Sci..
[21] Peter Frankl,et al. On the Trace of Finite Sets , 1983, J. Comb. Theory, Ser. A.
[22] David Haussler,et al. Epsilon-nets and simplex range queries , 1986, SCG '86.
[23] Colin Cooper,et al. The vapnik-chervonenkis dimension of a random graph , 1995, Discret. Math..
[24] Peter L. Bartlett,et al. Learning in Neural Networks: Theoretical Foundations , 1999 .
[25] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1967 .
[26] I. S. Shiganov. Refinement of the upper bound of the constant in the central limit theorem , 1986 .
[27] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[28] Norbert Sauer,et al. On the Density of Families of Sets , 1972, J. Comb. Theory A.
[29] Michael R. Chernick,et al. Runs and Scans With Applications , 2002, Technometrics.
[30] Vladimir V. Senatov. Normal Approximation: New Results, Methods and Problems , 1998 .
[31] P. V. Beek,et al. An application of Fourier methods to the problem of sharpening the Berry-Esseen inequality , 1972 .