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Results 11 - 20 of 20  for Everything in this catalogue

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11
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Why connectionist learning algorithms need to be more creative.

Christopher James Thornton

University of Sussex, School of Cognitive and Computing Science, 1992.

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12
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The complexity of constructive induction.

Christopher James Thornton

University of Sussex, School of Cognitive and Computing Science, 1992.

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13
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Supervised learning of conditional approach : a case study.

Christopher James Thornton

University of Sussex, School of Cognitive and Computing Science, 1993.

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14
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Unsupervised constructive learning.

Christopher James Thornton

University of Sussex, School of Cognitive and Computing Science, 1996.

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15
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A no-strings representation theory for adaptive researchers.

Christopher James Thornton

University of Sussex, School of Cognitive and Computing Science, 1996.

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16
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How much is enough? A connectionist perspective on the representation debate.

Christopher James Thornton

University of Sussex, School of Cognitive and Computing Science, 1993.

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17
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The inductive roots of abduction : a task analysis.

Christopher James Thornton

University of Sussex, School of Cognitive and Computing Science, 1996.

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18
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There is no free lunch but the starter is cheap : generalisation from first principles.

Christopher James Thornton

University of Sussex, School of Cognitive and Computing Science, 1999.

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19
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Design of artificial neural networks using genetic algorithms : review and prospect.

Ibrahim Kuscu

University of Sussex, School of Cognitive and Computing Science, 1994.

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20
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Trading spaces : computation, representation and the limits of learning.

Andy Clark

University of Sussex, School of Cognitive and Computing Science, 1993.

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Results 11 - 20 of 20  for Everything in this catalogue

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