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Machine learning from theory to applications : cooperative research at Siemens and MIT

Stephen José Hanson; Werner Remmele; Ronald L Rivest

Berlin New York Springer-Verlag c1993

Available at ICMC - Inst. Ciên. Mat. Computação    (68-02 Lncs v.661 e.1 ) and other locations(GetIt)

  • Title:
    Machine learning from theory to applications : cooperative research at Siemens and MIT
  • Author: Stephen José Hanson; Werner Remmele; Ronald L Rivest
  • Subjects: Machine learning -- Congresses; Artificial intelligence -- Congresses; Neural networks (Computer science) -- Congresses; INTELIGÊNCIA ARTIFICIAL
  • Notes: Includes bibliographical references and index
  • Local notes: [Ed] ronald l rivest;Serie : lecture notes in computer science, n.661
  • Description: Strategic directions in machine learning / Stephen José Hanson, Werner Remmele and Ronald L. Rivest -- Training a 3-node neural network is NP-complete / Avrim L. Blum and Ronald L. Rivest -- Cryptographic limitations on learnin g Boolean formulae and finite automata / Michael J. Kearns and Leslie G. Valiant -- Inference of finite automata using homing sequences / Ronald L. Rivest and Robert E. Schapire -- Adaptive search by learning from incomplete ex planations of failures / Neeraj Bhatnagar -- Learning of rules for fault diagnosis in power supply networks / R. Meunier, R. Scheiterer and A. Hech -- Cross references are features / Robert W. Schwanke and Michael A. Platoff -- The schema mechanism / Gary L. Drescher -- L-ATMS : a tight integration of EBL and the ATMS / Kai Zercher -- Massively parallel symbolic induction of protein structure/function relationships / Richard H. Lathrop ... [et al.] Task decomposition through competition in a modular connectionist architecture : the what and where vision tasks / Robert A. Jacobs, Michael I. Jordan and Andrew G. Barto -- Phoneme discrimination using connectionist networks / Raymond L. Watrous -- Behavior-based learning to control IR oven heating : preliminary investigations / R. Chou ... [et al.] -- Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks / Thomas Petsc he and Bradley W. Dickinson
  • Publisher: Berlin New York Springer-Verlag
  • Creation Date: c1993
  • Format: viii, 271 p. ill. 24 cm.
  • Language: English
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