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author = Rivest, Ronald L. (7 entries)  Select: All None   Action: Show BibTeX

Thomas H. Cormen, Charles E. Leiserson and Ronald L. Rivest. 2009. Introduction to algorithms. MIT Press and McGraw-Hill. [book.computers, ebook] pdf pdf pdf google scholar books
Ronald L. Rivest and Robert E. Schapire. 1994. Diversity-based inference of finite automata. [NLP] google scholar
Avrim L. Blum and Ronald L. Rivest. 1992. Training a 3-node Neural Network is NP-Complete. Neural Networks, vol 5, pp 117--127. Pergamon Press. [ML] google scholar
Nathan Linial, Yishay Mansour and Ronald L. Rivest. 1991. Results on learnability and the Vapnik-Chervonenkis dimension. Information and Computation, vol 90, pp 33-49. [AI] google scholar
Ronald L. Rivest and Robert E. Schapire. 1989. Inference of Finite Automata Using Homing Sequences (extended abstract). In Proceedings of the Twenty-first Annual ACM Symposium on Theory of Computing, pp 411--420. ACM Press. [ML] google scholar
Ronald L. Rivest and Robert E. Schapire. 1987. Diversity-based Inference of Finite Automata (extended abstract). In IEEE 28th Annual Symposium on Foundations of Computer Science, pp 78--87, October. [ML] google scholar
Ronald L. Rivest. 1987. Learning Decision Lists. Machine Learning, vol 2, pp 229--246. Kluwer Academic Publishers. [ML] google scholar

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