Kernel-Based Machines for Abstract and Easy Modeling of Automatic Learning-Reference-Cited by-同舟云学术

Kernel-Based Machines for Abstract and Easy Modeling of Automatic Learning

Published:2011 Issue: Volume: Page:458-503
ISSN:0302-9743
Container-title:Formal Methods for Eternal Networked Software Systems
language:
Short-container-title:

Author:

Moschitti Alessandro

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-21455-4_14

Reference72 articles.

1. Aiolli, F., Martino, G.D.S., Moschitti, A., Sperduti, A.: Fast On-line Kernel Learning for Trees. In: Proceedings Sixth International Conference on Data Mining, ICDM 2006. IEEE, Los Alamitos (2006)

2. Aiolli, F., Martino, G.D.S., Moschitti, A., Sperduti, A.: Efficient Kernel-based Learning for Trees. In: IEEE Symposium on Computational Intelligence and Data Mining, pp. 308–316. IEEE, Stati Uniti d’America (2007)

3. Ana-Maria, G., Moschitti, A.: Towards Free-text Semantic Parsing: A Unified Framework Based on FrameNet, VerbNet and PropBank. In: The Workshop on Learning Structured Information for Natural Language Applications. EACL (2006)

4. Annesi, P., Basili, R., Gitto, R., Moschitti, A., Petitti, R.: Audio Feature Engineering for Automatic Music Genre Classification. In: RIAO, Paris, France, pp. 702–711 (2007)

5. Lecture Notes in Artificial Intelligence;R. Basili,2005

Cited by 2 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. Machine Learning for Software Analysis: Models, Methods, and Applications;Lecture Notes in Computer Science;2018

2. Machine Learning for Emergent Middleware;Trustworthy Eternal Systems via Evolving Software, Data and Knowledge;2013