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Volumn 258, Issue , 2009, Pages 71-82

On constructing threshold networks for pattern classification

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EID: 74049152502     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-04512-7_4     Document Type: Conference Paper
Times cited : (2)

References (15)
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    • Anthony, M.1
  • 3
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    • Geometrical and statistical properties of systems of linear inequalities with Applications in Pattern Recognition
    • Cover, T.M.: Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition. IEEE Trans. on Electronic Computers EC-14, 326-334 (1965)
    • (1965) IEEE Trans. on Electronic Computers EC-14 , pp. 326-334
    • Cover, T.M.1
  • 5
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    • On defining sets of vertices of the hypercube by linear inequalities
    • Jeroslow, R.G.: On defining sets of vertices of the hypercube by linear inequalities. Discrete Mathematics 11, 119-124 (1975)
    • (1975) Discrete Mathematics , vol.11 , pp. 119-124
    • Jeroslow, R.G.1
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    • On the computational power of boolean decision lists
    • Alt, H., Ferreira, A. (eds.), STACS 2002. Springer, Heidelberg
    • Krause, M.: On the computational power of boolean decision lists. In: Alt, H., Ferreira, A. (eds.) STACS 2002. LNCS, vol.2285, pp. 372-383. Springer, Heidelberg (2002)
    • (2002) LNCS , vol.2285 , pp. 372-383
    • Krause, M.1
  • 7
    • 0001924169 scopus 로고
    • On learning simple neural concepts: From halfspace intersections to neural decision lists
    • Marchand, M., Golea, M.: On Learning Simple Neural Concepts: from Halfspace Intersections to Neural Decision Lists. Network: Computation in Neural Systems 4, 67-85 (1993)
    • (1993) Network: Computation in Neural Systems , vol.4 , pp. 67-85
    • Marchand, M.1    Golea, M.2
  • 8
    • 84956226983 scopus 로고
    • A convergence theorem for sequential learning in two-layer perceptrons
    • Marchand, M., Golea, M., Ruj́an, P.: A convergence theorem for sequential learning in two-layer perceptrons. Europhys. Lett. 11, 487 (1990)
    • (1990) Europhys. Lett. , vol.11 , pp. 487
    • Marchand, M.1    Golea, M.2    Ruj́an, P.3
  • 9
    • 1442267080 scopus 로고
    • Learning decision lists
    • Rivest, R.R.: Learning Decision Lists. Machine Learning 2(3), 229-246 (1987)
    • (1987) Machine Learning , vol.2 , Issue.3 , pp. 229-246
    • Rivest, R.R.1
  • 11
    • 0032121021 scopus 로고    scopus 로고
    • Growing methods for constructing recursive deterministic perceptron neural networks and knowledge extraction
    • Tajine, M., Elizondo, D.: Growing methods for constructing Recursive Deterministic Perceptron neural networks and knowledge extraction. Artificial Intelligence 102, 295-322 (1998)
    • (1998) Artificial Intelligence , vol.102 , pp. 295-322
    • Tajine, M.1    Elizondo, D.2
  • 12
    • 0032418223 scopus 로고    scopus 로고
    • The recursive deterministic perceptron neural network
    • Tajine, M., Elizondo, D.: The recursive deterministic perceptron neural network. Neural Networks 11, 1571-1588 (1998)
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    • Tajine, M.1    Elizondo, D.2
  • 13
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    • Linear decision lists and partitioning algorithms for the construction of neural networks
    • Rio de Janeiro, Springer, Heidelberg
    • Tuŕan, G., Vatan, F.: Linear decision lists and partitioning algorithms for the construction of neural networks. In: Foundations of Computational Mathematics: selected papers of a conference, Rio de Janeiro, pp. 414-423. Springer, Heidelberg (1997)
    • (1997) Foundations of Computational Mathematics: Selected Papers of A Conference , pp. 414-423
    • Tuŕan, G.1    Vatan, F.2
  • 14
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    • Estimating the efficiency of threshold representations of Boolean functions
    • Zuev, A., Lipkin, L.I.: Estimating the efficiency of threshold representations of Boolean functions. Cybernetics 24, 713-723 (1988).
    • (1988) Cybernetics , vol.24 , pp. 713-723
    • Zuev, A.1    Lipkin, L.I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.