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Publication search results
found 12 matches
- 2014
- Fides Aarts, Harco Kuppens, Jan Tretmans, Frits W. Vaandrager, Sicco Verwer:
Improving active Mealy machine learning for protocol conformance testing. Mach. Learn. 96(1-2): 189-224 (2014) - Borja Balle, Jorge Castro, Ricard Gavaldà:
Adaptively learning probabilistic deterministic automata from data streams. Mach. Learn. 96(1-2): 99-127 (2014) - Borja Balle, Xavier Carreras, Franco M. Luque, Ariadna Quattoni:
Spectral learning of weighted automata - A forward-backward perspective. Mach. Learn. 96(1-2): 33-63 (2014) - Alexander Clark, Ryo Yoshinaka:
Distributional learning of parallel multiple context-free grammars. Mach. Learn. 96(1-2): 5-31 (2014) - Esther Galbrun, Angelika Kimmig:
Finding relational redescriptions. Mach. Learn. 96(3): 225-248 (2014) - Jeffrey Heinz, Colin de la Higuera, Tim Oates:
Introduction to the Special Issue on Grammatical Inference. Mach. Learn. 96(1-2): 1-3 (2014) - Malte Isberner, Falk Howar, Bernhard Steffen:
Learning register automata: from languages to program structures. Mach. Learn. 96(1-2): 65-98 (2014) - Hilbert J. Kappen, Vicenç Gómez:
The Variational Garrote. Mach. Learn. 96(3): 269-294 (2014) - Sang-Hyeun Park, Johannes Fürnkranz:
Efficient implementation of class-based decomposition schemes for Naïve Bayes. Mach. Learn. 96(3): 295-309 (2014) - Chihiro Shibata, Ryo Yoshinaka:
A comparison of collapsed Bayesian methods for probabilistic finite automata. Mach. Learn. 96(1-2): 155-188 (2014) - Sicco Verwer, Rémi Eyraud, Colin de la Higuera:
PAutomaC: a probabilistic automata and hidden Markov models learning competition. Mach. Learn. 96(1-2): 129-154 (2014) - Makoto Yamada, Masashi Sugiyama, Jun Sese:
Least-squares independence regression for non-linear causal inference under non-Gaussian noise. Mach. Learn. 96(3): 249-267 (2014)
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