Prediction-Preserving Reducibility
暂无分享,去创建一个
[1] Michael Kearns,et al. Computational complexity of machine learning , 1990, ACM distinguished dissertations.
[2] Leonard Pitt,et al. On the necessity of Occam algorithms , 1990, STOC '90.
[3] Dana Angluin. Equivalence queries and approximate fingerprints , 1989, COLT '89.
[4] Robert E. Schapire,et al. The Strength of Weak Learnability , 1989, 30th Annual Symposium on Foundations of Computer Science.
[5] Manfred K. Warmuth. Towards Representation Independence in PAC Learning , 1989, AII.
[6] Leonard Pitt,et al. Inductive Inference, DFAs, and Computational Complexity , 1989, AII.
[7] David Haussler,et al. Learnability and the Vapnik-Chervonenkis dimension , 1989, JACM.
[8] Leonard Pitt,et al. The minimum consistent DFA problem cannot be approximated within any polynomial , 1989, [1989] Proceedings. Structure in Complexity Theory Fourth Annual Conference.
[9] M. Kearns,et al. Crytographic limitations on learning Boolean formulae and finite automata , 1989, STOC '89.
[10] David Haussler,et al. Learning decision trees from random examples , 1988, COLT '88.
[11] Umesh V. Vazirani,et al. On the learnability of finite automata , 1988, Annual Conference Computational Learning Theory.
[12] David Haussler,et al. Equivalence of models for polynomial learnability , 1988, COLT '88.
[13] Leslie G. Valiant,et al. A general lower bound on the number of examples needed for learning , 1988, COLT '88.
[14] David Haussler,et al. Predicting (0, 1)-functions on randomly drawn points , 1988, [Proceedings 1988] 29th Annual Symposium on Foundations of Computer Science.
[15] Leslie G. Valiant,et al. Computational limitations on learning from examples , 1988, JACM.
[16] David Haussler,et al. Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework , 1988, Artif. Intell..
[17] Stuart J. Russell. Tree-Structured Bias , 1988, AAAI.
[18] Hugo Krawczyk,et al. On the existence of pseudorandom generators , 1988, [Proceedings 1988] 29th Annual Symposium on Foundations of Computer Science.
[19] David Haussler,et al. ɛ-nets and simplex range queries , 1987, Discret. Comput. Geom..
[20] Leonid A. Levin,et al. One way functions and pseudorandom generators , 1987, Comb..
[21] Dana Angluin,et al. Learning Regular Sets from Queries and Counterexamples , 1987, Inf. Comput..
[22] N. Littlestone. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm , 1987, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987).
[23] David Haussler,et al. Occam's Razor , 1987, Inf. Process. Lett..
[24] Samuel R. Buss,et al. The Boolean formula value problem is in ALOGTIME , 1987, STOC.
[25] Leslie G. Valiant,et al. On the learnability of Boolean formulae , 1987, STOC.
[26] M. Kearns,et al. Recent Results on Boolean Concept Learning , 1987 .
[27] Ingo Wegener,et al. The complexity of Boolean functions , 1987 .
[28] Silvio Micali,et al. How to construct random functions , 1986, JACM.
[29] David Haussler,et al. Epsilon-nets and simplex range queries , 1986, SCG '86.
[30] Stephen A. Cook,et al. A Taxonomy of Problems with Fast Parallel Algorithms , 1985, Inf. Control..
[31] Leslie G. Valiant,et al. A theory of the learnable , 1984, STOC '84.
[32] Carl H. Smith,et al. Inductive Inference: Theory and Methods , 1983, CSUR.
[33] P. Assouad. Densité et dimension , 1983 .
[34] Andrew Chi-Chih Yao,et al. Theory and application of trapdoor functions , 1982, 23rd Annual Symposium on Foundations of Computer Science (sfcs 1982).
[35] Walter L. Ruzzo,et al. On uniform circuit complexity , 1979, 20th Annual Symposium on Foundations of Computer Science (sfcs 1979).
[36] Richard J. Lipton,et al. Linear Programming is Log-Space Hard for P , 1979, Inf. Process. Lett..
[37] DANA ANGLUIN,et al. On the Complexity of Minimum Inference of Regular Sets , 1978, Inf. Control..
[38] Leonard M. Adleman,et al. Two theorems on random polynomial time , 1978, 19th Annual Symposium on Foundations of Computer Science (sfcs 1978).
[39] Michael A. Harrison,et al. Introduction to formal language theory , 1978 .
[40] Ivan Hal Sudborough,et al. On the Tape Complexity of Deterministic Context-Free Languages , 1978, JACM.
[41] E. Mark Gold,et al. Complexity of Automaton Identification from Given Data , 1978, Inf. Control..
[42] John E. Savage,et al. The Complexity of Computing , 1976 .
[43] Neil D. Jones,et al. Space-Bounded Reducibility among Combinatorial Problems , 1975, J. Comput. Syst. Sci..
[44] I. H. Sudborough. On Tape-Bounded Complexity Classes and Multihead Finite Automata , 1973, J. Comput. Syst. Sci..
[45] R. Ladner. The circuit value problem is log space complete for P , 1975, SIGA.
[46] John T. Gill,et al. Computational complexity of probabilistic Turing machines , 1974, STOC '74.
[47] Neil D. Jones,et al. Complete problems for deterministic polynomial time , 1974, STOC '74.
[48] Vladimir Vapnik,et al. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities , 1971 .