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Group by: Official Date | Item Type | Funder | No Grouping
Jump to: Journal Article | Book Item | Conference Item | Report
Number of items: 14.

Journal Article

Goldberg, Paul W., Savani, Rahul, SΓΈrensen, Troels Bjerre and Ventre, Carmine (2012) On the approximation performance of fictitious play in finite games. International Journal of Game Theory . doi:10.1007/s00182-012-0362-6 ISSN 0020-7276.

Goldberg, Paul W. (2001) Learning fixed-dimension linear thresholds from fragmented data. Information and Computation, Volume 171 (Number 1). pp. 98-122. doi:10.1006/inco.2001.3059 ISSN 0890-5401.

Cryan, Mary, Goldberg, Leslie Ann and Goldberg, Paul W. (2001) Evolutionary trees can be learned in polynomial time in the two-state general Markov model. SIAM Journal on Computing, Volume 31 (Number 2). pp. 375-397. ISSN 0097-5397.

Goldberg, Leslie Ann, Goldberg, Paul W., Phillips, Cynthia A. and Sorkin, Gregory B. (1998) Constructing computer virus phylogenies. Journal of Algorithms, Volume 26 (Number 1). pp. 188-208. ISSN 0196-6774.

Book Item

Fearnley, J., Goldberg, Paul W., Savani, Rahul and SΓΈrensen, Troels Bjerre (2012) Approximate well-supported Nash equilibria below two-thirds. In: Serna, Maria, (ed.) Algorithmic Game Theory. Berlin: Springer Verlag, pp. 108-119. ISBN 9783642339950

Goldberg, Paul W. (2001) When can two unsupervised learners achieve PAC separation? In: Helmbold, D. and Williamson, B., (eds.) Computational Learning Theory. Lecture Notes in Computer Science, Volume 2111 . Springer Berlin Heidelberg, pp. 303-319. ISBN 9783540423430

Conference Item

Palmer, Nick and Goldberg, Paul W. (2007) PAC-learnability of probabilistic deterministic finite state automata in terms of variation distance. In: 16th Annual International Conference on Algorithmic Learning Theory (ALT 2005), Singapore, 08-11 Oct 2005. Published in: Theoretical Computer Science, Vol.387 (No.1). pp. 18-31. doi:10.1016/j.tcs.2007.07.023 ISSN 0304-3975.

Cryan, Mary, Goldberg, Leslie Ann and Goldberg, Paul W. (1998) Evolutionary trees can be learned in polynomial time in the two-state general Markov model. In: 39th Annual Symposium on Foundations of Computer Science, Palo Alto, CA, 08-11 Nov 1998. Published in: 39th Annual Symposium on Foundations of Computer Science, 1998. Proceedings. pp. 436-445. ISBN 0818691727. ISSN 0272-5428.

Report

Palmer, N. and Goldberg, Paul W. (2004) PAC classification based on PAC estimates of label class distributions. University of Warwick. Department of Computer Science. (Department of Computer Science Research report). (Unpublished)

Berenbrink, Petra, Goldberg, Leslie Ann, Goldberg, Paul W. and Martin, R. (Russell) (2004) Utilitarian resource assignment. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)

Goldberg, Paul W. (2000) When can two unsupervised learners achieve PAC separation? University of Warwick. Department of Computer Science. (Department of Computer Science Research Report). (Unpublished)

Goldberg, Paul W. (1999) Learning fixed-dimension linear thresholds from fragmented data. University of Warwick. Department of Computer Science. (Computer science research report). (Unpublished)

Cryan, Mary, Goldberg, Leslie Ann and Goldberg, Paul W. (1998) Evolutionary trees can be learned in polynomial time in the two-state general Markov model. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)

Goldberg, Leslie Ann, Goldberg, Paul W., Phillips, Cynthia A. and Sorking, Gregory B. (1996) Constructing computer virus phylogenies. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)

This list was generated on Thu Mar 30 15:00:01 2023 BST.
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