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Generalized Graph Colorability and Compressibility of Boolean Formulae (1998)  (Make Corrections)  (1 citation)
Richard Nock, Pascal Jappy, Jean Sallantin
ISAAC: 9th International Symposium on Algorithms and Computation (formerly SIGAL International Symposium on Algorithms), Organized by Special Interest Group on Algorithms (SIGAL) of the Information Processing Society of Japan (IPSJ) and the Technical Group on Theoretical Foundation of Computing of the Institute of Electronics, Information and Communication Engineers (IEICE))



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Abstract: In this paper, we study the existence of Occam's razors for a widely studied class of Boolean Formulae : Disjunctive Normal Forms (DNF). An Occam's razor is an algorithm which compresses the knowledge of observations (examples) in small formulae. We prove that approximating the minimally consistent DNF formula, and a generalization of graph colorability, is very hard. Other results on approximating Boolean formulae (and classical graph coloring) are negligible compared to ours. Our proof... (Update)

Cited by:   More
Learning DNF Formulas: A Survey - Hellerstein   (Correct)

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0.4:   On Learning Read-k-Satisfy-j DNF - Aizenstein, Blum, Khardon.. (1996)   (Correct)
0.2:   Learning nearly monotone k-term DNF - Castro, Guijarro, Lavín (1996)   (Correct)
0.2:   Boolean Formulas are Hard to Learn for Most - Gate Bases Ictor   (Correct)

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0.3:   Application of Linear Matroids to Graph Colorability - Jensen (2001)   (Correct)
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BibTeX entry:   (Update)

Nock, Jappy, and Sallantin. Generalized graph colorability and compressibility of boolean formulae. In ISAAC: 9th International Symposium on Algorithms and Computation (formerly SIGAL International Symposium on Algorithms), 1998. http://citeseer.ist.psu.edu/nock98generalized.html   More

@inproceedings{ nock98generalized,
    author = "Nock and Jappy and Sallantin",
    title = "Generalized Graph Colorability and Compressibility of Boolean Formulae",
    booktitle = "{ISAAC}: 9th International Symposium on Algorithms and Computation (formerly {SIGAL} International Symposium on Algorithms), Organized by Special Interest Group on Algorithms ({SIGAL}) of the Information Processing Society of Japan ({IPSJ}) and the Technical Group on Theoretical Foundation of Computing of the Institute of Electronics, Information and Communication Engineers ({IEICE}))",
    year = "1998",
    url = "citeseer.ist.psu.edu/nock98generalized.html" }
Citations (may not include all citations):
2177   programs for machine learning (context) - Quinlan - 1994
686   a guide to the theory of NP-Completeness (context) - Garey, Johnson et al. - 1979
493   Communications of the ACM (context) - Valiant, of et al. - 1984
492   Learning logical definition from relations (context) - Quinlan - 1990
300   the hardness of approximating minimization problems (context) - Lund, Yannakakis - 1993
271   Efficient induction of logic programs - Muggleton, Feng - 1994
248   An Introduction to Computational Learning Theory (context) - Kearns, Vazirani - 1994
248   Fast effective rule induction - Cohen - 1995
216   Very simple classification rules perform well on most common.. (context) - Holte - 1993
149   Information Processing Letters (context) - Blumer, Ehrenfeucht et al. - 1987
147   Boolean feature discovery in empirical learning (context) - Pagallo, Haussler - 1990
144   Computational limitations on learning from examples (context) - Pitt, Valiant - 1988
98   Zero knowledge and the chromatic number - Feige, Kilian - 1996
84   Learning disjunctions of conjunctions (context) - Valiant - 1985
78   the learnability of boolean formulae - Kearns, Li et al. - 1987
66   Structural Complexity (context) - Balcazar, Diaz et al. - 1988
46   Learning non-recursive definitions of relations with linus (context) - Lavrac, Dzeroski et al. - 1991
24   MDL and categorical theories (context) - Quinlan - 1995
16   On using the fourier transform to learn disjoint DNF - Khardon - 1994
15   Exact learning of read-k-disjoint DNF and not-so-disjoint-DN.. (context) - Aizenstein, Pitt - 1992
13   the learnability of Disjunctive Normal Form formulas (context) - Aizenstein, Pitt - 1995
12   PAC-learning a restricted class of recursive logic programs - Cohen - 1993
12   the limits of proper learnability of subclasses of DNF formu.. (context) - Pillaipakkamnatt, Raghavan - 1994
12   Clique is hard to approximate within n 1\Gammaffl (context) - astad - 1996
11   term-DNF formulas with an incomplete membership oracle (context) - Goldman, Mathias - 1992
9   On learning read-k-satisfy-j DNF (context) - Blum, Khardon et al. - 1994
8   On learning decision committees (context) - Nock, Gascuel - 1995
7   ITOU: induction of first-order theories (context) - Rouveirol - 1992
5   Characteristic sets for polynomial grammatical inference (context) - Higuera - 1996
4   Linear time deterministic learning of k-term-DNF (context) - Berggren - 1993
1   DNF formulas (context) - Bshouty, Chen et al. - 1995
1   Noise-tolerant relational concept learning (context) - Brunk, Pazzani - 1991
1   Iterative concept learning and construction by analogy (context) - de Raedt - 1992
1   algorithm for dnf under the uniform distribution (context) - Mansour, log - 1992
1   Hypothesis-driven constructive induction in AQ (context) - Wnek, Michalski - 1991

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