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ORCIDMachine Learning, Volume 96
Volume 96, Numbers 1-2, July 2014
- Jeffrey Heinz
, Colin de la Higuera, Tim Oates:
Introduction to the Special Issue on Grammatical Inference. 1-3 - Alexander Clark, Ryo Yoshinaka:
Distributional learning of parallel multiple context-free grammars. 5-31 - Borja Balle, Xavier Carreras, Franco M. Luque, Ariadna Quattoni:
Spectral learning of weighted automata - A forward-backward perspective. 33-63 - Malte Isberner, Falk Howar, Bernhard Steffen:
Learning register automata: from languages to program structures. 65-98 - Borja Balle, Jorge Castro, Ricard Gavaldà:
Adaptively learning probabilistic deterministic automata from data streams. 99-127 - Sicco Verwer, Rémi Eyraud, Colin de la Higuera:
PAutomaC: a probabilistic automata and hidden Markov models learning competition. 129-154 - Chihiro Shibata, Ryo Yoshinaka:
A comparison of collapsed Bayesian methods for probabilistic finite automata. 155-188 - 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
- Esther Galbrun, Angelika Kimmig:
Finding relational redescriptions. 225-248 - Makoto Yamada, Masashi Sugiyama, Jun Sese:
Least-squares independence regression for non-linear causal inference under non-Gaussian noise. 249-267 - Hilbert J. Kappen, Vicenç Gómez:
The Variational Garrote. 269-294 - Sang-Hyeun Park, Johannes Fürnkranz:
Efficient implementation of class-based decomposition schemes for Naïve Bayes. 295-309
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