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Volumn , Issue , 2003, Pages 18-25

Perceptual learning and abstraction in machine learning

Author keywords

Animals; Artificial intelligence; Computational complexity; Computers; Humans; Information processing; Learning systems; Machine learning; Machine learning algorithms; Mobile robots

Indexed keywords

ABSTRACTING; ANIMALS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; COMPUTERS; DATA PROCESSING; INFORMATION SCIENCE; INTELLIGENT ROBOTS; LEARNING SYSTEMS; MOBILE ROBOTS;

EID: 33644615175     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COGINF.2003.1225946     Document Type: Conference Paper
Times cited : (3)

References (35)
  • 1
    • 0001119106 scopus 로고
    • On representations of problems of reasoning about actions
    • S. Amarel. On representations of problems of reasoning about actions. Machine Intelligence, 3, 1968.
    • (1968) Machine Intelligence , vol.3
    • Amarel, S.1
  • 2
    • 0000240862 scopus 로고
    • A proposal for more powerful learning algorithm
    • E. Baum. A proposal for more powerful learning algorithm. Neural Computation, 1:201-207, 1989.
    • (1989) Neural Computation , vol.1 , pp. 201-207
    • Baum, E.1
  • 3
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • A. Blum and P. Langley. Selection of relevant features and examples in machine learning. In Artificial Intelligence, volume 97, pages 245-271, 1997.
    • (1997) Artificial Intelligence , vol.97 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 10
    • 0000155950 scopus 로고
    • The cascade-correlation learning architecture
    • D. S. Touretzky, editor, Denver Morgan Kaufmann, San Mateo
    • S. E. Fahlman and C. Lebiere. The cascade-correlation learning architecture. In D. S. Touretzky, editor, Advances in Neural Information Processing Systems, volume 2, pages 524-532, Denver 1989, 1990. Morgan Kaufmann, San Mateo.
    • (1989) Advances in Neural Information Processing Systems , vol.2 , pp. 524-532
    • Fahlman, S.E.1    Lebiere, C.2
  • 15
    • 0034320732 scopus 로고    scopus 로고
    • Phase transitions in relational learning
    • A. Giordana and L. Saitta. Phase transitions in relational learning. Machine Learning, 41(2):217-251, 2000.
    • (2000) Machine Learning , vol.41 , Issue.2 , pp. 217-251
    • Giordana, A.1    Saitta, L.2
  • 16
    • 0032652633 scopus 로고    scopus 로고
    • Using abstrips abstractions : Where do we stand ?
    • F. Giunchiglia. Using abstrips abstractions : Where do we stand ? Artificial Intelligence Review, 13:201-213, 1996.
    • (1996) Artificial Intelligence Review , vol.13 , pp. 201-213
    • Giunchiglia, F.1
  • 18
    • 33645982060 scopus 로고    scopus 로고
    • Top-down information and models of perceptual learning
    • M. Herzog and M. Fahle. Top-down information and models of perceptual learning. Perceptual learning, 2002.
    • (2002) Perceptual Learning
    • Herzog, M.1    Fahle, M.2
  • 23
    • 0003834557 scopus 로고
    • Freeman and Co., Oxford
    • D. Marr. Vision. Freeman and Co., Oxford, 1982.
    • (1982) Vision
    • Marr, D.1
  • 26
    • 0016069798 scopus 로고
    • Planning in a hierarchy of abstraction spaces
    • E. Sacerdoti. Planning in a hierarchy of abstraction spaces. Artificial Intelligence, 5:115-135, 1974.
    • (1974) Artificial Intelligence , vol.5 , pp. 115-135
    • Sacerdoti, E.1
  • 28
    • 0013161470 scopus 로고    scopus 로고
    • A model of abstraction in visual perception
    • L. Saitta and J.-D. Zucker. A model of abstraction in visual perception. Applied Artificial Intelligence, 15(8):761-776, 2001.
    • (2001) Applied Artificial Intelligence , vol.15 , Issue.8 , pp. 761-776
    • Saitta, L.1    Zucker, J.-D.2
  • 31
    • 0040066869 scopus 로고
    • Models of perceptual learning in vernier hyperacuity
    • Y. Weiss, S. Edelman, and M. Fahle. Models of perceptual learning in vernier hyperacuity. Neural Computation, 5(5):695-718, 1993.
    • (1993) Neural Computation , vol.5 , Issue.5 , pp. 695-718
    • Weiss, Y.1    Edelman, S.2    Fahle, M.3
  • 32
    • 0000599779 scopus 로고
    • Hypothesis-driven constructive induction in aq17-hci - A method and experiments
    • J. Wnek and R. Muchalski. Hypothesis-driven constructive induction in aq17-hci - a method and experiments. Machine Learning, 14(2):139-168, 1994.
    • (1994) Machine Learning , vol.14 , Issue.2 , pp. 139-168
    • Wnek, J.1    Muchalski, R.2
  • 33
  • 35
    • 0008632799 scopus 로고    scopus 로고
    • Changes of representation for efficient learning in structural domains
    • Bari, Italy: Morgan Kaufmann
    • J.-D. Zucker and J.-G. Ganascia. Changes of representation for efficient learning in structural domains. In International Conference in Machine Learning.Bari, Italy: Morgan Kaufmann, 1996.
    • (1996) International Conference in Machine Learning
    • Zucker, J.-D.1    Ganascia, J.-G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.