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Volumn 23, Issue , 2012, Pages

Attribute-efficient learning and weight-degree tradeoffs for polynomial threshold functions

Author keywords

Attribute efficient learning; Decision lists; Markov's inequality; Polynomial threshold functions

Indexed keywords

ARTIFICIAL INTELLIGENCE; SOFTWARE ENGINEERING;

EID: 84893271540     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (19)
  • 1
    • 0038384210 scopus 로고
    • Perceptrons, PP, and the polynomial hierarchy
    • Richard Beigel. Perceptrons, PP, and the Polynomial Hierarchy. Computational Complexity, 4: 339-349, 1994.
    • (1994) Computational Complexity , vol.4 , pp. 339-349
    • Beigel, R.1
  • 2
    • 0024983435 scopus 로고
    • Learning boolean functions in an infinite atribute space (extended abstract)
    • ACM
    • Avrim Blum. Learning boolean functions in an infinite atribute space (extended abstract). In STOC, pages 64-72. ACM, 1990.
    • (1990) STOC , pp. 64-72
    • Blum, A.1
  • 3
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Avrim Blum and Pat Langley. Selection of relevant features and examples in machine learning. Artif. Intell., 97(1-2):245-271, 1997.
    • (1997) Artif. Intell , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 4
    • 0029254047 scopus 로고
    • Learning in the presence of finitely or infinitely many irrelevant attributes
    • Avrim Blum, Lisa Hellerstein, and Nick Littlestone. Learning in the presence of finitely or infinitely many irrelevant attributes. J. Comput. Syst. Sci., 50(1):32-40, 1995.
    • (1995) J. Comput. Syst. Sci. , vol.50 , Issue.1 , pp. 32-40
    • Blum, A.1    Hellerstein, L.2    Littlestone, N.3
  • 5
    • 0034717359 scopus 로고    scopus 로고
    • Markov-bernstein type inequalities under littlewood-type coefficient constraints
    • ISSN 0019-3577. doi: 10.1016/S0019-3577(00)89074-6
    • Peter Borwein and Taḿas Erd́elyi. Markov-Bernstein type inequalities under Littlewood-type coefficient constraints. Indagationes Mathematicae, 11(2):159 - 172, 2000. ISSN 0019-3577. doi: 10.1016/S0019-3577(00) 89074-6.
    • (2000) Indagationes Mathematicae , vol.11 , Issue.2 , pp. 159-172
    • Borwein, P.1    Erd́elyi, T.2
  • 7
    • 33646372971 scopus 로고    scopus 로고
    • Toward attribute efficient learning of decision lists and parities
    • Adam R. Klivans and Rocco A. Servedio. Toward attribute efficient learning of decision lists and parities. Journal of Machine Learning Research, 7:587-602, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 587-602
    • Klivans, A.R.1    Servedio, R.A.2
  • 8
    • 78650225820 scopus 로고    scopus 로고
    • Lower bounds for agnostic learning via approximate rank
    • Adam R. Klivans and Alexander A. Sherstov. Lower bounds for agnostic learning via approximate rank. Computational Complexity, 19(4):581-604, 2010.
    • (2010) Computational Complexity , vol.19 , Issue.4 , pp. 581-604
    • Klivans, A.R.1    Sherstov, A.A.2
  • 9
    • 0029519797 scopus 로고
    • On computing boolean functions by sparse real polynomials
    • IEEE Computer Society
    • Matthias Krause and Pavel Pudĺak. On computing boolean functions by sparse real polynomials. In FOCS, pages 682-691. IEEE Computer Society, 1995.
    • (1995) FOCS , pp. 682-691
    • Krause, M.1    Pudĺak, P.2
  • 10
    • 0032243627 scopus 로고    scopus 로고
    • Computing boolean functions by polynomials and threshold circuits
    • Matthias Krause and Pavel Pudĺak. Computing boolean functions by polynomials and threshold circuits. Computational Complexity, 7(4):346-370, 1998.
    • (1998) Computational Complexity , vol.7 , Issue.4 , pp. 346-370
    • Krause, M.1    Pudĺak, P.2
  • 12
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • Nick Littlestone. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2(4):285-318, 1987.
    • (1987) Machine Learning , vol.2 , Issue.4 , pp. 285-318
    • Littlestone, N.1
  • 15
    • 0000607672 scopus 로고
    • On the degree of boolean functions as real polynomials
    • Noam Nisan and Mario Szegedy. On the degree of boolean functions as real polynomials. Computational Complexity, 4:301-313, 1994.
    • (1994) Computational Complexity , vol.4 , pp. 301-313
    • Nisan, N.1    Szegedy, M.2
  • 16
    • 44649175703 scopus 로고    scopus 로고
    • Halfspace matrices
    • Alexander A. Sherstov. Halfspace matrices. Computational Complexity, 17(2):149-178, 2008.
    • (2008) Computational Complexity , vol.17 , Issue.2 , pp. 149-178
    • Sherstov, A.A.1
  • 17
    • 65949113138 scopus 로고    scopus 로고
    • Separating ac0 from depth-2 majority circuits
    • Alexander A. Sherstov. Separating ac0 from depth-2 majority circuits. SIAM J. Comput., 38(6): 2113-2129, 2009.
    • (2009) SIAM J. Comput. , vol.38 , Issue.6 , pp. 2113-2129
    • Sherstov, A.A.1
  • 18
    • 84855598669 scopus 로고    scopus 로고
    • The pattern matrix method
    • Alexander A. Sherstov. The pattern matrix method. SIAM J. Comput., 40(6):1969-2000, 2011.
    • (2011) SIAM J. Comput. , vol.40 , Issue.6 , pp. 1969-2000
    • Sherstov, A.A.1
  • 19
    • 0033225586 scopus 로고    scopus 로고
    • Projection learning
    • Leslie G. Valiant. Projection learning. Machine Learning, 37(2):115-130, 1999.
    • (1999) Machine Learning , vol.37 , Issue.2 , pp. 115-130
    • Valiant, L.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.