LEARNABILITY AND THE VAPNIK-CHERVONENKIS DIMENSION

[1] Aho A. V., 1974, DESIGN ANAL COMPUTER

[2] Angluin D., 1988, Machine Learning, V2, P343, DOI 10.1007/BF00116829

[3] Angluin D., 1988, Machine Learning, V2, P319, DOI 10.1007/BF00116828

[4] LEARNING REGULAR SETS FROM QUERIES AND COUNTEREXAMPLES [J]. INFORMATION AND COMPUTATION, 1987, 75 (02) : 87 - 106

[5] ANGLUIN DF, 1979, J COMPUT SYST SCI, V19, P155

[6] DENSITY AND DIMENSION [J]. ANNALES DE L INSTITUT FOURIER, 1983, 33 (03) : 233 - 282

[7] What Size Net Gives Valid Generalization? [J]. NEURAL COMPUTATION, 1989, 1 (01) : 151 - 160

[8] BENDAVID S, 1989, IN PRESS 2ND P WORKS

[9] BENEDEK G, 1988, 15TH P NAT C AUT LAN, P82

[10] BLUM A, 1988, 1ST P WORKSH COMP LE, P9

[1] Aho A. V., 1974, DESIGN ANAL COMPUTER

[2] Angluin D., 1988, Machine Learning, V2, P343, DOI 10.1007/BF00116829

[3] Angluin D., 1988, Machine Learning, V2, P319, DOI 10.1007/BF00116828

[4] LEARNING REGULAR SETS FROM QUERIES AND COUNTEREXAMPLES [J]. INFORMATION AND COMPUTATION, 1987, 75 (02) : 87 - 106

[5] ANGLUIN DF, 1979, J COMPUT SYST SCI, V19, P155

[6] DENSITY AND DIMENSION [J]. ANNALES DE L INSTITUT FOURIER, 1983, 33 (03) : 233 - 282

[7] What Size Net Gives Valid Generalization? [J]. NEURAL COMPUTATION, 1989, 1 (01) : 151 - 160

[8] BENDAVID S, 1989, IN PRESS 2ND P WORKS

[9] BENEDEK G, 1988, 15TH P NAT C AUT LAN, P82

[10] BLUM A, 1988, 1ST P WORKSH COMP LE, P9