The DOI matches its Crossref record.
Scaling Learning Algorithms toward AI
Abstract
This chapter contains sections titled: Introduction, LearningModels Toward AI, Learning Architectures, Shallow and Deep, Fundamental Limitation of Local Learning, Deep Architectures, Experiments with Visual Pattern Recognition, Conclusion
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Citations
Cited by
Representation Learning: A Review and New Perspectives
Bengio, Y., Courville, A., & Vincent, P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.50 · Cited by 13,001
Self-citationReservoir computing approaches to recurrent neural network training
Lukoševičius, M., & Jaeger, H. (2009) · Computer Science Review · doi:10.1016/j.cosrev.2009.03.005 · Cited by 2,956
Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition
Dahl, G. E., Yu, D., Deng, L., & Acero, A. (2012) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2011.2134090 · Cited by 3,011
Deep learning applications and challenges in big data analytics
Najafabadi, M. M., Villanustre, F., Khoshgoftaar, T. M., Seliya, N., Wald, R., & Muharemagic, E. (2015) · Journal of Big Data · doi:10.1186/s40537-014-0007-7 · Cited by 2,594
Practical Recommendations for Gradient-Based Training of Deep Architectures
Bengio, Y. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-35289-8_26 · Cited by 2,259
Self-citation
Metadata
- Authors
- Bengio, Y., & LeCun, Y.
- Venue
- Large-Scale Kernel Machines
- Publisher
- The MIT Press
- Published
- 2007-08-17
- Pages
- 321-360
- OpenAlex
- W2546191734
- Cited by
- 455
- References
- 0
- FWCI
- 7.88
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Bengio, Y., & LeCun, Y. (2007). Scaling Learning Algorithms toward AI. Large-Scale Kernel Machines. https://doi.org/10.7551/mitpress/7496.003.0016
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
