dblp: Machine Learning, Volume 96 (original) (raw)

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Volume 96, Numbers 1-2, July 2014

Special Issue on Grammatical Inference; Guest Editors: Jeffrey Heinz, C. de la Higuera, and Tim Oates

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    Jeffrey Heinz, Colin de la Higuera, Tim Oates:
    Introduction to the Special Issue on Grammatical Inference. 1-3
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    Alexander Clark, Ryo Yoshinaka:
    Distributional learning of parallel multiple context-free grammars. 5-31
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    Borja Balle, Xavier Carreras, Franco M. Luque, Ariadna Quattoni:
    Spectral learning of weighted automata - A forward-backward perspective. 33-63
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    Malte Isberner, Falk Howar, Bernhard Steffen:
    Learning register automata: from languages to program structures. 65-98
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    Borja Balle, Jorge Castro, Ricard Gavaldà:
    Adaptively learning probabilistic deterministic automata from data streams. 99-127
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    Sicco Verwer, Rémi Eyraud, Colin de la Higuera:
    PAutomaC: a probabilistic automata and hidden Markov models learning competition. 129-154
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    Chihiro Shibata, Ryo Yoshinaka:
    A comparison of collapsed Bayesian methods for probabilistic finite automata. 155-188
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    Fides Aarts, Harco Kuppens, Jan Tretmans, Frits W. Vaandrager, Sicco Verwer:
    Improving active Mealy machine learning for protocol conformance testing. 189-224

Volume 96, Number 3, September 2014

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    Esther Galbrun, Angelika Kimmig:
    Finding relational redescriptions. 225-248
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    Makoto Yamada, Masashi Sugiyama, Jun Sese:
    Least-squares independence regression for non-linear causal inference under non-Gaussian noise. 249-267
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    Hilbert J. Kappen, Vicenç Gómez:
    The Variational Garrote. 269-294
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    Sang-Hyeun Park, Johannes Fürnkranz:
    Efficient implementation of class-based decomposition schemes for Naïve Bayes. 295-309

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