Automated patent landscaping

Author:

Abood Aaron,Feltenberger DaveORCID

Publisher

Springer Science and Business Media LLC

Subject

Law,Artificial Intelligence

Reference27 articles.

1. Baglama J, Reichel L (2005) Augmented implicitly restarted lanczos bidiagonalization methods. Society for Industrial and Applied Mathematics 27:19–42

2. Blum A (2005) Random projection, margins, kernels, and feature-selection. In: Proceedings of the 2005 international conference on subspace, latent structure and feature selection, Springer, Pittsburgh, pp 52–68

3. Cheng H-T, Koc L, Harmsen J, Shaked T, Chandra T, Aradhye H, Anderson G, Corrado G, Chai W, Ispir M, Anil R, Haque Z, Hong L, Jain V, Liu X, Shah H (2016) Wide & deep learning for recommender systems. ArXiv e-prints. http://adsabs.harvard.edu/abs/2016arXiv160607792C

4. Clevert D-A, Unterthiner T, Hochreiter S (2015) Fast and accurate deep network learning by exponential linear units (ELUs). ArXiv e-prints. http://adsabs.harvard.edu/abs/2015arXiv151107289C

5. Cockburn IM, Macgarvie MJ (2009) Patents, Thickets and the Financing of Early-Stage Firms: evidence from the Software Industry. Journal of Economics and Management Strategy 18(3):729–773

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