2009 |
50 | EE | Anne Condon,
Amol Deshpande,
Lisa Hellerstein,
Ning Wu:
Algorithms for distributional and adversarial pipelined filter ordering problems.
ACM Transactions on Algorithms 5(2): (2009) |
49 | EE | Lisa Hellerstein,
Hans-Ulrich Simon:
Special Issue: Learning Theory 2006.
J. Comput. Syst. Sci. 75(1): 1 (2009) |
2008 |
48 | EE | Amol Deshpande,
Lisa Hellerstein:
Flow Algorithms for Parallel Query Optimization.
ICDE 2008: 754-763 |
47 | EE | Lisa Hellerstein:
Certificate Complexity and Exact Learning.
Encyclopedia of Algorithms 2008 |
46 | EE | Eric Allender,
Lisa Hellerstein,
Paul McCabe,
Toniann Pitassi,
Michael E. Saks:
Minimizing Disjunctive Normal Form Formulas and AC0 Circuits Given a Truth Table.
SIAM J. Comput. 38(1): 63-84 (2008) |
2007 |
45 | EE | Lisa Hellerstein,
Rocco A. Servedio:
On PAC learning algorithms for rich Boolean function classes.
Theor. Comput. Sci. 384(1): 66-76 (2007) |
2006 |
44 | EE | Eric Allender,
Lisa Hellerstein,
Paul McCabe,
Toniann Pitassi,
Michael E. Saks:
Minimizing DNF Formulas and AC0d Circuits Given a Truth Table.
IEEE Conference on Computational Complexity 2006: 237-251 |
43 | EE | Anne Condon,
Amol Deshpande,
Lisa Hellerstein,
Ning Wu:
Flow algorithms for two pipelined filter ordering problems.
PODS 2006: 193-202 |
2005 |
42 | EE | Yuval Marton,
Ning Wu,
Lisa Hellerstein:
On Compression-Based Text Classification.
ECIR 2005: 300-314 |
41 | EE | Bernard Rosell,
Lisa Hellerstein,
Soumya Ray,
David Page:
Why skewing works: learning difficult Boolean functions with greedy tree learners.
ICML 2005: 728-735 |
40 | EE | Eric Allender,
Lisa Hellerstein,
Paul McCabe,
Toniann Pitassi,
Michael E. Saks:
Minimizing DNF Formulas and AC0 Circuits Given a Truth Table
Electronic Colloquium on Computational Complexity (ECCC)(126): (2005) |
39 | EE | Lisa Hellerstein,
Vijay Raghavan:
Exact learning of DNF formulas using DNF hypotheses.
J. Comput. Syst. Sci. 70(4): 435-470 (2005) |
2004 |
38 | EE | Bernard Rosell,
Lisa Hellerstein:
Naïve Bayes with Higher Order Attributes.
Canadian Conference on AI 2004: 105-119 |
2002 |
37 | EE | Lisa Hellerstein,
Vijay Raghavan:
Exact learning of DNF formulas using DNF hypotheses.
STOC 2002: 465-473 |
2001 |
36 | EE | Lisa Hellerstein:
On generalized constraints and certificates.
Discrete Mathematics 226(1-3): 211-232 (2001) |
2000 |
35 | EE | Oya Ekin,
Stephan Foldes,
Peter L. Hammer,
Lisa Hellerstein:
Equational characterizations of Boolean function classes.
Discrete Mathematics 211: 27-51 (2000) |
1999 |
34 | EE | Joseph M. Hellerstein,
Lisa Hellerstein,
George Kollios:
On the Generation of 2-Dimensional Index Workloads.
ICDT 1999: 113-130 |
1998 |
33 | | Howard Aizenstein,
Tibor Hegedüs,
Lisa Hellerstein,
Leonard Pitt:
Complexity Theoretic Hardness Results for Query Learning.
Computational Complexity 7(1): 19-53 (1998) |
32 | | Aaron Feigelson,
Lisa Hellerstein:
Conjunctions of Unate DNF Formulas: Learning and Structure.
Inf. Comput. 140(2): 203-228 (1998) |
31 | | Nader H. Bshouty,
Lisa Hellerstein:
Attribute-Efficient Learning in Query and Mistake-Bound Models.
J. Comput. Syst. Sci. 56(3): 310-319 (1998) |
30 | | Anne Condon,
Lisa Hellerstein,
Samuel Pottle,
Avi Wigderson:
On the Power of Finite Automata with Both Nondeterministic and Probabilistic States.
SIAM J. Comput. 27(3): 739-762 (1998) |
1997 |
29 | EE | Aaron Feigelson,
Lisa Hellerstein:
The Forbidden Projections of Unate Functions.
Discrete Applied Mathematics 77(3): 221-236 (1997) |
1996 |
28 | EE | Nader H. Bshouty,
Lisa Hellerstein:
Attribute-Efficient Learning in Query and Mistake-Bound Models.
COLT 1996: 235-243 |
27 | EE | Aaron Feigelson,
Lisa Hellerstein:
Learning Conjunctions of Two Unate DNF Formulas (Extended Abstract): Computational and Informational Results.
COLT 1996: 255-265 |
26 | | Collette R. Coullard,
Lisa Hellerstein:
Independence and Port Oracles for Matroids, with an Application to Computational Learning Theory.
Combinatorica 16(2): 189-208 (1996) |
25 | EE | Lisa Hellerstein,
Krishnan Pillaipakkamnatt,
Vijay V. Raghavan,
Dawn Wilkins:
How Many Queries Are Needed to Learn?
J. ACM 43(5): 840-862 (1996) |
1995 |
24 | EE | Lisa Hellerstein,
Krishnan Pillaipakkamnatt,
Vijay V. Raghavan,
Dawn Wilkins:
How many queries are needed to learn?
STOC 1995: 190-199 |
23 | | Avrim Blum,
Lisa Hellerstein,
Nick Littlestone:
Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes.
J. Comput. Syst. Sci. 50(1): 32-40 (1995) |
22 | | Nader H. Bshouty,
Thomas R. Hancock,
Lisa Hellerstein:
Learning Boolean Read-Once Formulas over Generalized Bases.
J. Comput. Syst. Sci. 50(3): 521-542 (1995) |
21 | | Nader H. Bshouty,
Thomas R. Hancock,
Lisa Hellerstein:
Learning Arithmetic Read-Once Formulas.
SIAM J. Comput. 24(4): 706-735 (1995) |
1994 |
20 | | Aditi Dhagat,
Lisa Hellerstein:
PAC Learning with Irrelevant Attributes
FOCS 1994: 64-74 |
19 | | Lisa Hellerstein,
Collette R. Coullard:
Learning Binary Matroid Ports.
SODA 1994: 328-335 |
18 | EE | Anne Condon,
Lisa Hellerstein,
Samuel Pottle,
Avi Wigderson:
On the power of finite automata with both nondeterministic and probabilistic states (preliminary version).
STOC 1994: 676-685 |
17 | | Lisa Hellerstein,
Garth A. Gibson,
Richard M. Karp,
Randy H. Katz,
David A. Patterson:
Coding Techniques for Handling Failures in Large Disk Arrays.
Algorithmica 12(2/3): 182-208 (1994) |
16 | | Nader H. Bshouty,
Thomas R. Hancock,
Lisa Hellerstein,
Marek Karpinski:
An Algorithm to Learn Read-Once Threshold Formulas, and Transformations Between Learning Models.
Computational Complexity 4: 37-61 (1994) |
15 | | Lisa Hellerstein:
Guest Editor's Introduction.
Machine Learning 17(2-3): 111-114 (1994) |
1993 |
14 | EE | Lisa Hellerstein:
Functions that are Read-Once on a Subset of their Inputs.
Discrete Applied Mathematics 46(3): 235-251 (1993) |
13 | EE | Dana Angluin,
Lisa Hellerstein,
Marek Karpinski:
Learning Read-Once Formulas with Queries.
J. ACM 40(1): 185-210 (1993) |
12 | | Lisa Hellerstein:
Book Review: ``Machine Learning: A Theoretical Approach''.
Machine Learning 13: 145-149 (1993) |
1992 |
11 | EE | Nader H. Bshouty,
Thomas R. Hancock,
Lisa Hellerstein:
Learning Boolean Read-Once Formulas with Arbitrary Symmetric and Constant Fan-in Gates.
COLT 1992: 1-15 |
10 | | Howard Aizenstein,
Lisa Hellerstein,
Leonard Pitt:
Read-Thrice DNF Is Hard to Learn With Membership and Equivalence Queries
FOCS 1992: 523-532 |
9 | | Nader H. Bshouty,
Thomas R. Hancock,
Lisa Hellerstein:
Learning Arithmetic Read-Once Formulas
STOC 1992: 370-381 |
1991 |
8 | EE | Avrim Blum,
Lisa Hellerstein,
Nick Littlestone:
Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes.
COLT 1991: 157-166 |
7 | EE | Thomas R. Hancock,
Lisa Hellerstein:
Learning Read-Once Formulas over Fields and Extended Bases.
COLT 1991: 326-336 |
1990 |
6 | | Lisa Hellerstein,
Philip N. Klein,
Robert Wilber:
On the Time-Space Complexity of Reachability Queries for Preprocessed Graphs.
Inf. Process. Lett. 35(5): 261-267 (1990) |
1989 |
5 | | Garth A. Gibson,
Lisa Hellerstein,
Richard M. Karp,
Randy H. Katz,
David A. Patterson:
Failure Correction Techniques for Large Disk Arrays.
ASPLOS 1989: 123-132 |
4 | EE | Lisa Hellerstein,
Marek Karpinski:
Learning Read-Once Formulas Using Membership Queries.
COLT 1989: 146-161 |
1987 |
3 | | Stephen Taylor,
Lisa Hellerstein,
Shmuel Safra,
Ehud Y. Shapiro:
Notes on the Complexity of Systolic Programs.
J. Parallel Distrib. Comput. 4(3): 250-265 (1987) |
1986 |
2 | | Lisa Hellerstein,
Ehud Y. Shapiro:
Implementing Parallel Algorithms in Concurrent Prolog: The MAXFLOW Experience.
J. Log. Program. 3(2): 157-184 (1986) |
1984 |
1 | | Lisa Hellerstein,
Ehud Y. Shapiro:
Implementing Parallel Algorithms in Concurrent Prolog: The MAXFLOW Experience.
SLP 1984: 99-115 |