Vesselin Petkov IntroductionShort CVinsert short SV here Full profileThis is the longer CV, presenting education, work experience, etc. Publications Newman, Mark E. J.. "Power laws, Pareto distributions and Zipf's law." arXiv:cond-mat/0412004 (2006). NATO Standardization Office (NSO)., 2020. ITIL. Axelos, 2020. Prince2., 2020. Miller, George A.. "WordNet: A Lexical Database for English." Communications of the ACM 38, no. 11 (1995). Manning, Christopher, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. "The Stanford CoreNLP Natural Language Processing Toolkit." In 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations. Baltimore, Maryland, 2014. Angeli, Gabor, Melvin Premkumar, and Christopher D. Manning. Leveraging Linguistic Structure for Open Domain Information Extraction In 53rd Annual Meeting of the Association for Computational Linguistics and the 7th In-ternational Joint Conference on Natural Language Processing. Beijing, China, 2015. C4ISR Architecture Working Group (AWG): Final Report. Washington D.C.: Department of Defense, 1998. Powers, David M. W.. "Applications and Explanations of Zipf's Law." In New Methods in Language Processing and Computational Natural Language Learning, 151-160. ACL, 1998. Take on Data Science and Machine Learning Tools. Gartner , 2018. "From Words to Wisdom." KNIME Press (2018). Seif, George. The 5 Clustering Algorithms Data Scientists Need to Know., 2018. The MITRE Corporation., 2020. Splunk. Wikipedia, 2019. Fukunaga, Keinosuke. Introduction to Statistical Pattern Recognition. San Diego, CA, USA: Academic Press Professional, 1990. van der Maaten, Laurens, Eric Postma, and Jaap van den Herik. Dimensionality Reduction: A Comparative Review. Tilburg University, 2009. Guyon, Isabelle, and André Elisseeff. An Introduction to Variable and Feature Selection., 2003. Brownlee, Jason. Gentle Introduction to Models for Sequence Prediction with RNNs., 2017. van Veen, Fjodor. Neural Networks., 2016. Garbade, Michael J.. Regression Versus Classification Machine Learning: What’s the Difference?., 2018. Liou, Cheng-Yuan, Jau-Chi Huang, and Wen-Chie Yang. "Modeling word perception using the Elman network." Neurocomputing 71, no. 16-18 (2008): 3150-3157. Liou, Cheng-Yuan, Wei-Chen Cheng, Jiun-Wei Liou, and Daw-Ran Liou. "Autoencoder for words." Neurocomputing 139, no. 2 (2014): 84-96. Vincent, Pascal, and Hugom Larochelle. "Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion." Journal of Machine Learning Research 11 (2010): 3371-3408. Kingma, Diederik P., and Max Welling. "An Introduction to Variational Autoencoders." arXiv:1906.02691 (2019). Bengio, Yoshua. "Learning Deep Architectures for AI." Foundations and Trends® in Machine Learning 2, no. 1 (2009). Pages« първа ‹ предишна … 441 442 443 444 445 446 447 448 449 … следваща › последна »
