Cryptographic limitations on learning boolean formulae and finite automata
M Kearns, L Valiant - Journal of the ACM (JACM), 1994 - dl.acm.org
In this paper, we prove the intractability of learning several classes of Boolean functions in
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
[PDF][PDF] Cryptographic Limitations on Learning Boolean Formulae and Finite Automata
M Kearns - gidemy.com
In this paper we prove the intractability of learning several classes of Boolean functions in
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
[引用][C] Cryptographic limitations on learning Boolean formulae and finite automata
MJ Kearns, LG Valiant - Machine Learning: From Theory to Applications - infona.pl
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[PDF][PDF] Cryptographic Limitations on Learning Boolean Formulae and Finite Automata
M KEARNS, L VALIANT - Journal of the Association for Computing …, 1994 - cis.upenn.edu
In this paper, we prove the intractability of learning several classesof Boolean functions in
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
[引用][C] Cryptographic limitations on learning Boolean formulae and finite automata
M KEARNS, L VALIANT - Journal of the Association for …, 1994 - pascal-francis.inist.fr
Cryptographic limitations on learning Boolean formulae and finite automata CNRS Inist
Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search Advanced …
Pascal-Francis CNRS Pascal and Francis Bibliographic Databases Simple search Advanced …
[PDF][PDF] Cryptographic Limitations on Learning Boolean Formulae and Finite Automata
M Kearns - scholar.archive.org
In this paper we prove the intractability of learning several classes of Boolean functions in
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
[PDF][PDF] Cryptographic Limitations on Learning Boolean Formulae and Finite Automata
M Kearns, L Valianty - Citeseer
In this paper we prove the intractability of learning several classes of Boolean functions in
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
[PDF][PDF] Cryptographic Limitations on Learning Boolean Formulae and Finite Automata
M Kearns - mit6875.github.io
In this paper we prove the intractability of learning several classes of Boolean functions in
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
the distribution-free model (also called the Probably Approximately Correct or PAC model) of …
Cryptographic limitations on learning Boolean formulae and finite automata
MJ Kearns, LG Valiant - Machine Learning: From Theory to Applications …, 2005 - Springer
In this paper we consider the problem of learning classes of functions from examples when
there are no restrictions on the allowed hypotheses other than that they are polynomial time …
there are no restrictions on the allowed hypotheses other than that they are polynomial time …
[PDF][PDF] Crytographic limitations on learning Boolean formulae and finite automata
M Kearns, LG Valiant - Proceedings of the twenty-first annual ACM …, 1989 - dl.acm.org
In this paper we consider the problem of learning from examples classes of functions when
there are no restrictions on the allowed hypotheses other than that they are polynomial time …
there are no restrictions on the allowed hypotheses other than that they are polynomial time …