Learning DNF formulae under classes of probability distributions
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[1] Ming Li,et al. Learning in the presence of malicious errors , 1993, STOC '88.
[2] David Haussler,et al. Equivalence of models for polynomial learnability , 1988, COLT '88.
[3] Yishay Mansour,et al. Learning monotone ku DNF formulas on product distributions , 1991, COLT '91.
[4] Leslie G. Valiant,et al. On the learnability of Boolean formulae , 1987, STOC.
[5] Noam Nisan,et al. Constant depth circuits, Fourier transform, and learnability , 1993, JACM.
[6] Leslie G. Valiant,et al. Computational limitations on learning from examples , 1988, JACM.
[7] Karsten A. Verbeurgt. Learning DNF under the uniform distribution in quasi-polynomial time , 1990, COLT '90.
[8] Leslie G. Valiant,et al. A general lower bound on the number of examples needed for learning , 1988, COLT '88.
[9] Mona Singh,et al. Learning functions of k terms , 1990, COLT '90.
[10] Leslie G. Valiant,et al. A theory of the learnable , 1984, CACM.
[11] Leslie G. Valiant,et al. Fast probabilistic algorithms for hamiltonian circuits and matchings , 1977, STOC '77.
[12] Leslie G. Valiant,et al. Cryptographic Limitations on Learning Boolean Formulae and Finite Automata , 1993, Machine Learning: From Theory to Applications.
[13] Peter L. Bartlett,et al. Investigating the distribution assumptions in the Pac learning model , 1991, COLT '91.