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Non U-Shaped Vacillatory and Team Learning

Carlucci, L. et al.

Journal on data semantics.; Algorithmic learning theory; Singapore, 2005; Oct, 2005, 241-255 -- New York, NY; Springer; 2005.; [Great Britain] : (pages 241-255) -- 2005

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12
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Absolute Versus Probabilistic Classification in a Logical Setting

Jain, S.; Martin, E.; Stephan, F.

Journal on data semantics.; Algorithmic learning theory; Singapore, 2005; Oct, 2005, 327-342 -- New York, NY; Springer; 2005.; [Great Britain] : (pages 327-342) -- 2005

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13
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Gold-Style and Query Learning Under Various Constraints on the Target Class

Jain, S.; Lange, S.; Zilles, S.

Journal on data semantics.; Algorithmic learning theory; Singapore, 2005; Oct, 2005, 226-240 -- New York, NY; Springer; 2005.; [Great Britain] : (pages 226-240) -- 2005

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14
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Teaching Learners with Restricted Mind Changes

Balbach, F. J.; Zeugmann, T.

Journal on data semantics.; Algorithmic learning theory; Singapore, 2005; Oct, 2005, 474-489 -- New York, NY; Springer; 2005.; [Great Britain] : (pages 474-489) -- 2005

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15
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A Class of Prolog Programs with Non-linear Outputs Inferable from Positive Data

Rao, M. R. K. K.

Journal on data semantics.; Algorithmic learning theory; Singapore, 2005; Oct, 2005, 312-326 -- New York, NY; Springer; 2005.; [Great Britain] : (pages 312-326) -- 2005

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16
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Learnability of Probabilistic Automata via Oracles

Guttman, O.; Vishwanathan, S. V. N.; Williamson, R. C.

Journal on data semantics.; Algorithmic learning theory; Singapore, 2005; Oct, 2005, 171-182 -- New York, NY; Springer; 2005.; [Great Britain] : (pages 171-182) -- 2005

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17
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Mixture of Vector Experts

Henderson, M.; Shawe-Taylor, J.; Zerovnik, J.

Journal on data semantics.; Algorithmic learning theory; Singapore, 2005; Oct, 2005, 386-398 -- New York, NY; Springer; 2005.; [Great Britain] : (pages 386-398) -- 2005

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18
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Measuring Statistical Dependence with Hilbert-Schmidt Norms

Gretton, A. et al.

Journal on data semantics.; Algorithmic learning theory; Singapore, 2005; Oct, 2005, 63-77 -- New York, NY; Springer; 2005.; [Great Britain] : (pages 63-77) -- 2005

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19
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Identification in the Limit of Substitutable Context-Free Languages

Clark, A.; Eyraud, R.

Journal on data semantics.; Algorithmic learning theory; Singapore, 2005; Oct, 2005, 283-296 -- New York, NY; Springer; 2005.; [Great Britain] : (pages 283-296) -- 2005

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ACME: An Associative Classifier Based on Maximum Entropy Principle

Thonangi, R.; Pudi, V.

Journal on data semantics.; Algorithmic learning theory; Singapore, 2005; Oct, 2005, 122-134 -- New York, NY; Springer; 2005.; [Great Britain] : (pages 122-134) -- 2005

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  1. Jain, S
  2. Vovk, V.
  3. Stephan, F.
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  5. Takimoto, E.

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