Automated patent landscaping

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

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

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

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

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

De Lathauwer L et al (2000) A multilinear singular value decomposition. Soc Ind Appl Math 21:1253–1278

Dean J, Ghemawat S (2004) MapReduce: simplified data processing on large clusters. In: Proceedings of the 6th conference on symposium on opearting systems design and implementation, vol 6 (OSDI’04), Berkeley

Deerwester S, Al E (1990) Indexing by latent semantic analysis. J Am Soc Inf Sci 41:391

Eisinger D, Tsatsaronis G, Bundschus M, Wieneke U, Schroeder M (2013) Automated patent categorization and guided patent search using IPC as inspired by MeSH and PubMed. J Biomed Semant

EPO and USPTO (2016) Cooperative patent classification. http://worldwide.espacenet.com/classification?locale=en_EP#!/CPC=G06

Fall CJ, Törcsvári A, Benzineb K, Karetka G (2003) Automated categorization in the international patent classification. In SIGIR Forum 37:10–25

Hinton GE, Srivastava N, Krizhevsky A, Sutskever I, Salakhutdinov RR (2012) Improving neural networks by preventing co-adaptation of feature detectors. ArXiv e-prints. http://adsabs.harvard.edu/abs/2012arXiv1207.0580H

Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput 9(8):1735–1780

Ioffe S, Szegedy C (2015) Batch normalization: accelerating deep network training by reducing internal covariate shift. ArXiv e-prints. http://adsabs.harvard.edu/abs/2015arXiv150203167I

Krier M, Zaccà F (2002) Automatic categorisation applications at the European patent office. World Patent Inf 24(3):187–196

Li X, Chen H, Zhang Z, Li J (2007) Automatic patent classification using citation network information: an experimental study in nanotechnology. In: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries, New York

Ma C, Lu B-L, Utiyama M (2009) Incorporating prior knowledge into task decomposition for large-scale patent classification. In: Proceedings of the 6th international symposium on neural networks: advances in neural networks—part II, Berlin

Mikolov T, Chen K, Corrado G, Dean J (2013). Efficient estimation of word representations in vector space. ArXiv e-prints. http://adsabs.harvard.edu/abs/2013arXiv1301.3781M

Nair VE, Hinton G (2010) Rectified Linear Units Improve Restricted Boltzmann Machines Vinod Nair

O’connor D (2012) One in six active u.s. patents pertain to the smartphone. In: Disruptive competition project. http://www.project-disco.org/intellectual-property/one-in-six-active-u-s-patents-pertain-to-the-smartphone/

Reidenberg JR, Al E (2015) Patents and small participants in the smartphone industry. Center on Law and Information Policy at Fordham Law School, New York

Rosenblatt F (1958) The perceptron: a probabilistic model for information storage and organization. Psychol Rev 65:386–408

Shimano T, Yukawa T (2008) An automated research paper classification method for the IPC system with the concept base. In: Proceedings of the NTCIR-7 workshop meeting, Tokyo

Skillicorn DB (2006) Social network analysis via matrix decompositions. In: Popp RL, Yen J, Wiley, Hoboken, pp 367-392

Trippe A (2015) Guidelines for preparing patent landscape reports. World Intellectual Property Organization, Geneva

Van Rijsbergen CJ (1979) Evaluation. In: Information Retrieval Butterworths, pp. 133–134. http://www.dcs.gla.ac.uk/Keith/Preface.html

Yang YY, Akers L, Yang CB, Klose T, Pavlek S (2010) Enhancing patent landscape analysis with visualization output. World Patent Information 32(3):203–220