Author:
Balle Borja,Castro Jorge,Gavaldà Ricard
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference27 articles.
1. Aggarwal, C. (Ed.) (2007). Data streams—models and algorithms. Berlin: Springer.
2. Balle, B., Castro, J., & Gavaldà, R. (2012a). Bootstrapping and learning pdfa in data streams. In International colloquium on grammatical inference (ICGI).
3. Balle, B., Castro, J., & Gavaldà, R. (2012b). Learning probabilistic automata: a study in state distinguishability. Theoretical Computer Science.
4. Frontiers of artificial intelligence series and applications;A. Bifet,2010
5. Bousquet, O., Boucheron, S., & Lugosi, G. (2004). Introduction to statistical learning theory. Advanced Lectures on Machine Learning.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Kappa Updated Ensemble for drifting data stream mining;Machine Learning;2019-10-02
2. Convex Language Semantics for Nondeterministic Probabilistic Automata;Theoretical Aspects of Computing – ICTAC 2018;2018
3. flexfringe: A Passive Automaton Learning Package;2017 IEEE International Conference on Software Maintenance and Evolution (ICSME);2017-09
4. Grammatical Inference for Computational Linguistics;Synthesis Lectures on Human Language Technologies;2015-10-23