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22
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Learning From a Consistently Ignorant Teacher
– Michael Frazier, Sally Goldman, Nina Mishra, Leonard Pitt
- 1994
|
|
3
|
Part 1: Overview of the Probably Approximately Correct (PAC) Learning Framework
– David Haussler
- 1995
|
|
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Computational Learning Theory
– Sally A. Goldman
|
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1
|
On Exploiting Knowledge and Concept Use in Learning Theory
– Leonard Pitt
|
|
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On the Learnability of Counting Functions
– Nader Bshouty, Zhixiang Chen, Scott E. Decatur, Steven Homer
|
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12
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Asking Questions to Minimize Errors
– Nader H. Bshouty, Sally A. Goldman, Thomas R. Hancock, Sleiman Matar
- 1993
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6
|
Learning Fallible Deterministic Finite Automata
– Dana Ron, A. Goldman
- 1995
|
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17
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Complexity Theoretic Hardness Results for Query Learning
– Howard Aizenstein, Tibor Hegedüs, Tibor Heged Us, Lisa Hellerstein, Leonard Pitt
- 1998
|
|
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We Will Give a Reduction Showing How Algorithm
– Can Be
- 1991
|
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1
|
Learning to be Competent
– Roni Khardon, Roni Khardon
- 1996
|
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18
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Learning Functions Represented as Multiplicity Automata
– Amos Beimel, Francesco Bergadano, Nader H. Bshouty, Eyal Kushilevitz, Stefano Varricchio
- 2000
|
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27
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Learning With Unreliable Boundary Queries
– Avrim Blum, Prasad Chalasani, Sally A. Goldman, Donna K. Slonim
- 1995
|
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7
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Knowing What Doesn't Matter: Exploiting the Omission of Irrelevant Data
– Russell Greiner, Adam J. Grove, Alexander Kogan
- 1997
|
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23
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Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle
– Dana Angluin, Donna K. Slonim
- 1994
|
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8
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Learning Monotone DNF with an Incomplete Membership Oracle
– Dana Angluin, Donna K. Slonim
- 1991
|
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10
|
Learning to Classify Incomplete Examples
– Dale Schuurmans, Russell Greiner
- 1993
|
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37
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Probably Approximately Correct Learning
– David Haussler
- 1990
|
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10
|
Learning Boolean Read-Once Formulas over Generalized Bases
– Nader H. Bshouty, Thomas R. Hancock, Lisa Hellerstein
- 1995
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6
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Efficient Learning from Faulty Data
– Scott Evan Decatur
- 1995
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