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Learning From a Consistently Ignorant Teacher (1994)  (Make Corrections)  (27 citations)
Michael Frazier, Sally Goldman, et al.
Journal of Computer and System Sciences



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Abstract: One view of computational learning theory is that of a learner acquiring the knowledge of a teacher. We introduce a formal model of learning capturing the idea that teachers may have gaps in their knowledge. In particular, we consider learning from a teacher who labels examples "+" (a positive instance of the concept being learned), "\Gamma" (a negative instance of the concept being learned), and "?" (an instance with unknown classification), in such a way that knowledge of the concept... (Update)

Context of citations to this paper:   More

.... learning with restricted focus of attention [3, 4] learning probabilistic concepts [9] learning with a consistently ignorant teacher [6] or learning with a constrained instance or projective equivalence oracle [2] In the sequel, we assume that the reader is familiar with...

...adversary instead of a random process, and the rate of incorrect answers that can be tolerated is consequently much lower. Frazier et al. [14] have introduced a model of omissions in answers to membership queries, called learning from a consistently ignorant teacher. The basic...

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18:   Queries and concept learning (context) - Angluin - 1988
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BibTeX entry:   (Update)

Mike Frazier, Sally Goldman, Nina Mishra, and Leonard Pitt. Learning from a consistently ignorant teacher. In Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, July 1994. http://citeseer.ist.psu.edu/frazier94learning.html   More

@article{ frazier96learning,
    author = "Michael Frazier and Sally A. Goldman and Nina Mishra and Leonard Pitt",
    title = "Learning from a Consistently Ignorant Teacher",
    journal = "Journal of Computer and System Sciences",
    volume = "52",
    number = "3",
    pages = "471-492",
    year = "1996",
    url = "citeseer.ist.psu.edu/frazier94learning.html" }
Citations (may not include all citations):
1911   Introduction to Automata Theory (context) - Hopcroft, Ullman - 1979
537   A theory of the learnable (context) - Valiant - 1984
465   Learnability and the Vapnik-Chervonenkis dimension (context) - Blumer, Ehrenfeucht et al. - 1989
441   Queries and concept learning (context) - Angluin - 1988
274   Generalization as search (context) - Mitchell - 1982
244   Learning regular sets from queries and counterexamples (context) - Angluin - 1987
184   Cryptographic limitations on learning Boolean formulae and f.. - Kearns, Valiant - 1994
142   Learning from noisy examples (context) - Angluin, Laird - 1988
132   Fast probabilistic algorithms for hamiltonian circuits and m.. (context) - Angluin, Valiant - 1979
115   Efficient distribution-free learning of probabilistic concep.. - Kearns, Schapire - 1994
107   Efficient noise-tolerant learning from statistical queries - Kearns - 1993
97   Learning read-once formulas with queries - Angluin, Hellerstein et al. - 1993
94   Learning in the presence of malicious errors - Kearns, Li - 1993
84   Learning conjunctions of Horn clauses - Angluin, Frazier et al. - 1992
81   Equivalence of models for polynomial learnability (context) - Haussler, Kearns et al. - 1991
68   Version Spaces: An Approach to Concept Learning (context) - Mitchell - 1978
67   Negative results for equivalence queries (context) - Angluin - 1990
52   Learning from good and bad data (context) - Laird - 1988
49   functions on randomly drawn points (context) - Haussler, Littlestone et al. - 1994
49   Learning the CLASSIC description logic: Theoretical and expe.. - Cohen, Hirsh - 1994
43   CLASSIC learning - Frazier, Pitt - 1994
42   term DNF formulas with queries (context) - Blum, Rudich et al. - 1992
40   Types of noise in data for concept learning (context) - Sloan - 1988
36   Efficient learning with virtual threshold gates - Maass, Warmuth - 1995
33   Exact learning of read-twice DNF formulas (context) - Aizenstein, Pitt - 1991
28   DNF with Noise in the Attributes (context) - Shackelford, Volper - 1988
28   Exact learning Boolean functions via the monotone theory - Bshouty - 1995
27   term DNF formulas using queries and counterexamples (context) - Angluin - 1987
26   Learning arithmetic read-once formulas (context) - Bshouty, Hancock et al. - 1995
26   Composite geometric concepts and polynomial predictability - Long, Warmuth - 1994
21   Exact identification of circuits using fixed points of ampli.. (context) - Goldman, Kearns et al. - 1993
21   line learning of rectangles (context) - Chen, Maass - 1992
19   On learning from queries and counterexamples in the presence.. (context) - Sakakibara - 1991
19   A noise model on learning sets of strings (context) - Sakakibara, Siromoney - 1992
19   Learning with malicious membership queries and exceptions (context) - Angluin, Krikis - 1994
18   Theoretical underpinnings of version spaces (context) - Hirsh - 1991
17   Learning Boolean read-once formulas with arbitrary symmetric.. (context) - Bshouty, Hancock et al. - 1992
17   Separating distribution-free and mistake-bound learning mode.. (context) - Blum - 1994
16   Learning unions of two rectangles in the plane with equivale.. (context) - Chen - 1993
15   Learning unions of boxes with membership and equivalence que.. - Goldberg, Goldman et al. - 1994
15   Noise-tolerant distribution-free learning of general geometr.. - Bshouty, Goldman et al.
14   The bounded injury priority method and the learnability of u.. - Chen, Homer - 1994
14   On learning discretized geometric concepts (context) - Bshouty, Chen et al. - 1994
13   Generalizing the PAC model for neural net and other learning.. (context) - Haussler - 1989
12   the limits of proper learnability of subclasses of DNF formu.. (context) - Pillaipakkamnatt, Raghavan - 1994
12   Exact learning of discretized geometric concepts - Bshouty, Goldberg et al. - 1994
11   Learning 2-DNF formulas and k decision trees (context) - Hancock - 1991
10   Learning with queries but incomplete information - Sloan, Tur'an - 1994
10   Read-twice DNF formulas are properly learnable (context) - Pillaipakkamnatt, Raghavan - 1995
6   Noise-tolerant parallel learning of geometric concepts - Bshouty, Goldman et al. - 1995
6   Exact learning of -DNF formulas with malicious membership qu.. (context) - Angluin - 1994
5   The common order-theoretic structure of version spaces and a.. - Gunter, Ngair et al. - 1991
3   line prediction of depth two linear threshold circuits (context) - Auer, Kwek et al.
3   Can PAC learning algorithms tolerate random noise (context) - Goldman, Sloan - 1995
2   Polynomial-time learning of intersections of halfspaces (context) - Kwek, Pitt - 1995
1   Learning DNF under the uniform distribution (context) - Jackson - 1994
1   Special issue for the 23rd Annual ACM Symposium on Theory of.. (context) - Angluin, Kharitonov et al. - 1995



The graph only includes citing articles where the year of publication is known.


Documents on the same site (http://www-sal.cs.uiuc.edu/~pitt/):   More
On Exploiting Knowledge and Concept Use in Learning Theory - Pitt   (Correct)
Learning Conjunctions of Horn Clauses - Angluin, Frazier, Pitt (1992)   (Correct)
Criteria for Polynomial Time (Conceptual) Clustering - Pitt, Reinke   (Correct)

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