2009 | ||
---|---|---|
74 | EE | Dana Angluin, James Aspnes, Jiang Chen, Yinghua Wu: Learning a circuit by injecting values. J. Comput. Syst. Sci. 75(1): 60-77 (2009) |
2008 | ||
73 | EE | Dana Angluin, James Aspnes, Lev Reyzin: Optimally Learning Social Networks with Activations and Suppressions. ALT 2008: 272-286 |
72 | EE | Dana Angluin, James Aspnes, Jiang Chen, David Eisenstat, Lev Reyzin: Learning Acyclic Probabilistic Circuits Using Test Paths. COLT 2008: 169-180 |
71 | EE | Dana Angluin, Leonor Becerra-Bonache: Learning Meaning Before Syntax. ICGI 2008: 1-14 |
70 | EE | Dana Angluin, James Aspnes, David Eisenstat: A simple population protocol for fast robust approximate majority. Distributed Computing 21(2): 87-102 (2008) |
69 | EE | Dana Angluin, James Aspnes, David Eisenstat: Fast computation by population protocols with a leader. Distributed Computing 21(3): 183-199 (2008) |
68 | EE | Dana Angluin, Jiang Chen: Learning a hidden graph using O(logn) queries per edge. J. Comput. Syst. Sci. 74(4): 546-556 (2008) |
67 | EE | Dana Angluin, James Aspnes, Jiang Chen, Lev Reyzin: Learning large-alphabet and analog circuits with value injection queries. Machine Learning 72(1-2): 113-138 (2008) |
66 | EE | Dana Angluin, James Aspnes, Michael J. Fischer, Hong Jiang: Self-stabilizing population protocols. TAAS 3(4): (2008) |
2007 | ||
65 | EE | Dana Angluin, James Aspnes, Jiang Chen, Lev Reyzin: Learning Large-Alphabet and Analog Circuits with Value Injection Queries. COLT 2007: 51-65 |
64 | EE | Dana Angluin, James Aspnes, David Eisenstat: A Simple Population Protocol for Fast Robust Approximate Majority. DISC 2007: 20-32 |
63 | EE | Dana Angluin, James Aspnes, David Eisenstat, Eric Ruppert: The computational power of population protocols. Distributed Computing 20(4): 279-304 (2007) |
62 | EE | David Eisenstat, Dana Angluin: The VC dimension of k-fold union. Inf. Process. Lett. 101(5): 181-184 (2007) |
2006 | ||
61 | EE | Dana Angluin, Michael J. Fischer, Hong Jiang: Stabilizing Consensus in Mobile Networks. DCOSS 2006: 37-50 |
60 | EE | Dana Angluin, James Aspnes, David Eisenstat: Fast Computation by Population Protocols with a Leader. DISC 2006: 61-75 |
59 | EE | Dana Angluin, James Aspnes, David Eisenstat: Stably computable predicates are semilinear. PODC 2006: 292-299 |
58 | EE | Dana Angluin, James Aspnes, Jiang Chen, Yinghua Wu: Learning a circuit by injecting values. STOC 2006: 584-593 |
57 | EE | Dana Angluin, James Aspnes, David Eisenstat, Eric Ruppert: The computational power of population protocols CoRR abs/cs/0608084: (2006) |
56 | EE | Dana Angluin, James Aspnes, Zoë Diamadi, Michael J. Fischer, René Peralta: Computation in networks of passively mobile finite-state sensors. Distributed Computing 18(4): 235-253 (2006) |
55 | EE | Dana Angluin, Jiang Chen: Learning a Hidden Hypergraph. Journal of Machine Learning Research 7: 2215-2236 (2006) |
2005 | ||
54 | EE | Dana Angluin, Jiang Chen: Learning a Hidden Hypergraph. COLT 2005: 561-575 |
53 | EE | Dana Angluin, James Aspnes, Melody Chan, Michael J. Fischer, Hong Jiang, René Peralta: Stably Computable Properties of Network Graphs. DCOSS 2005: 63-74 |
52 | EE | Dana Angluin, James Aspnes, Michael J. Fischer, Hong Jiang: Self-stabilizing Population Protocols. OPODIS 2005: 103-117 |
51 | EE | Dana Angluin, James Aspnes, David Eisenstat, Eric Ruppert: On the Power of Anonymous One-Way Communication. OPODIS 2005: 396-411 |
50 | EE | Dana Angluin, James Aspnes, Jiang Chen, Yinghua Wu, Yitong Yin: Fast construction of overlay networks. SPAA 2005: 145-154 |
2004 | ||
49 | EE | Dana Angluin, Jiang Chen: Learning a Hidden Graph Using O(log n) Queries Per Edge. COLT 2004: 210-223 |
48 | EE | Dana Angluin: Learning and Mathematics. ICGI 2004: 1-2 |
47 | EE | Dana Angluin, James Aspnes, Zoë Diamadi, Michael J. Fischer, René Peralta: Computation in networks of passively mobile finite-state sensors. PODC 2004: 290-299 |
46 | EE | Dana Angluin: Queries revisited. Theor. Comput. Sci. 313(2): 175-194 (2004) |
2003 | ||
45 | EE | Dana Angluin, Martins Krikis: Learning from Different Teachers. Machine Learning 51(2): 137-163 (2003) |
2001 | ||
44 | EE | Dana Angluin: Queries Revisited. ALT 2001: 12-31 |
43 | EE | Dana Angluin: Queries Revisited. Discovery Science 2001: 16 |
42 | EE | Chinda Wongngamnit, Dana Angluin: Robot localization in a grid. Inf. Process. Lett. 77(5-6): 261-267 (2001) |
2000 | ||
41 | Dana Angluin, Jeffery Westbrook, Wenhong Zhu: Robot Navigation with Distance Queries. SIAM J. Comput. 30(1): 110-144 (2000) | |
1997 | ||
40 | EE | Dana Angluin, Martins Krikis: Teachers, Learners and Black Boxes. COLT 1997: 285-297 |
39 | EE | Dana Angluin, Miklós Csürös: Learning Markov Chains with Variable Memory Length from Noisy Output. COLT 1997: 298-308 |
38 | Dana Angluin, Martins Krikis, Robert H. Sloan, György Turán: Malicious Omissions and Errors in Answers to Membership Queries. Machine Learning 28(2-3): 211-255 (1997) | |
1996 | ||
37 | EE | Dana Angluin, Jeffery Westbrook, Wenhong Zhu: Robot Navigation with Range Queries. STOC 1996: 469-478 |
36 | Dana Angluin: A 1996 Snapshot of Computational Learning Theory. ACM Comput. Surv. 28(4es): 216 (1996) | |
1995 | ||
35 | Dana Angluin, Michael Kharitonov: When Won't Membership Queries Help? J. Comput. Syst. Sci. 50(2): 336-355 (1995) | |
34 | Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron: Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning. Machine Learning 18(1): 81-108 (1995) | |
1994 | ||
33 | EE | Dana Angluin, Martins Krikis: Learning with Malicious Membership Queries and Exceptions (Extended Abstract). COLT 1994: 57-66 |
32 | Dana Angluin, Donna K. Slonim: Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle. Machine Learning 14(1): 7-26 (1994) | |
1993 | ||
31 | EE | Dana Angluin, Lisa Hellerstein, Marek Karpinski: Learning Read-Once Formulas with Queries. J. ACM 40(1): 185-210 (1993) |
1992 | ||
30 | Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron: Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning. AAAI 1992: 208-214 | |
29 | Dana Angluin: Computational Learning Theory: Survey and Selected Bibliography STOC 1992: 351-369 | |
28 | Dana Angluin, Michael Frazier, Leonard Pitt: Learning Conjunctions of Horn Clauses. Machine Learning 9: 147-164 (1992) | |
1991 | ||
27 | EE | Dana Angluin, Donna K. Slonim: Learning Monotone DNF with an Incomplete Membership Oracle. COLT 1991: 139-146 |
26 | Dana Angluin, Michael Kharitonov: When Won't Membership Queries Help? (Extended Abstract) STOC 1991: 444-454 | |
1990 | ||
25 | EE | Dana Angluin, Michael Frazier, Leonard Pitt: Learning Conjunctions of Horn Clauses (Abstract). COLT 1990: 387 |
24 | Dana Angluin, Michael Frazier, Leonard Pitt: Learning Conjunctions of Horn Clauses (Extended Abstract) FOCS 1990: 186-192 | |
23 | Dana Angluin: Negative Results for Equivalence Queries. Machine Learning 5: 121-150 (1990) | |
1989 | ||
22 | EE | Dana Angluin: Equivalence Queries and Approximate Fingerprints. COLT 1989: 134-145 |
21 | Dana Angluin, William I. Gasarch, Carl H. Smith: Training Sequences. Theor. Comput. Sci. 66(3): 255-272 (1989) | |
1988 | ||
20 | EE | Dana Angluin: Learning With Hints. COLT 1988: 167-181 |
1987 | ||
19 | Dana Angluin: Learning Regular Sets from Queries and Counterexamples Inf. Comput. 75(2): 87-106 (1987) | |
18 | Dana Angluin: Queries and Concept Learning. Machine Learning 2(4): 319-342 (1987) | |
17 | Dana Angluin, Philip D. Laird: Learning From Noisy Examples. Machine Learning 2(4): 343-370 (1987) | |
1984 | ||
16 | Dana Angluin, Douglas N. Hoover: Regular Prefix Relations. Mathematical Systems Theory 17(3): 167-191 (1984) | |
1983 | ||
15 | Dana Angluin, Carl H. Smith: Inductive Inference: Theory and Methods. ACM Comput. Surv. 15(3): 237-269 (1983) | |
1982 | ||
14 | Timothy A. Budd, Dana Angluin: Two Notions of Correctness and Their Relation to Testing. Acta Inf. 18: 31-45 (1982) | |
13 | EE | Dana Angluin: Inference of Reversible Languages. J. ACM 29(3): 741-765 (1982) |
1981 | ||
12 | Dana Angluin: A Note on the Number of Queries Needed to Identify Regular Languages Information and Control 51(1): 76-87 (1981) | |
11 | EE | Dana Angluin, A. Gardiner: Finite common coverings of pairs of regular graphs. J. Comb. Theory, Ser. B 30(2): 184-187 (1981) |
1980 | ||
10 | Dana Angluin: Local and Global Properties in Networks of Processors (Extended Abstract) STOC 1980: 82-93 | |
9 | Dana Angluin: Inductive Inference of Formal Languages from Positive Data Information and Control 45(2): 117-135 (1980) | |
8 | Dana Angluin: Finding Patterns Common to a Set of Strings. J. Comput. Syst. Sci. 21(1): 46-62 (1980) | |
7 | Dana Angluin: On Relativizing Auxiliary Pushdown Machines. Mathematical Systems Theory 13: 283-299 (1980) | |
6 | Dana Angluin: On Counting Problems and the Polynomial-Time Hierarchy. Theor. Comput. Sci. 12: 161-173 (1980) | |
1979 | ||
5 | Dana Angluin: Finding Patterns Common to a Set of Strings (Extended Abstract) STOC 1979: 130-141 | |
4 | Dana Angluin: A Note on a Construction of Margulis. Inf. Process. Lett. 8(1): 17-19 (1979) | |
3 | Dana Angluin, Leslie G. Valiant: Fast Probabilistic Algorithms for Hamiltonian Circuits and Matchings. J. Comput. Syst. Sci. 18(2): 155-193 (1979) | |
1978 | ||
2 | Dana Angluin: On the Complexity of Minimum Inference of Regular Sets Information and Control 39(3): 337-350 (1978) | |
1977 | ||
1 | Dana Angluin, Leslie G. Valiant: Fast Probabilistic Algorithms for Hamiltonian Circuits and Matchings STOC 1977: 30-41 |