Cognitive Computing: Theory and Applications by Vijay V Raghavan, Venkat N. Gudivada, Venu Govindaraju, C.R.

By Vijay V Raghavan, Venkat N. Gudivada, Venu Govindaraju, C.R. Rao

Cognitive Computing: idea and Applications, written by way of across the world popular specialists, makes a speciality of cognitive computing and its thought and functions, together with using cognitive computing to control renewable power, the surroundings, and different scarce assets, computer studying types and algorithms, biometrics, Kernel established types for transductive studying, neural networks, graph analytics in cyber protection, neural networks, info pushed speech attractiveness, and analytical systems to check the brain-computer interface.

  • Comprehensively provides a number of the points of statistical methodology
  • Discusses a large choice of various functions and up to date developments
  • Contributors are across the world well known specialists of their respective areas

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Overview of the first trec conference. In: Proceedings of the 16th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’93. ACM, New York, NY, pp. 36–47. , 2003. The symbol grounding problem. In: Nadel, L. ), Encyclopedia of Cognitive Science. Nature Publishing Group/Macmillan, New York, NY, pp. 335–346. , 2003. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, second ed. Springer, New York, NY. , 2016. Biological and machine intelligence (BAMI).

Concepts, Architectures, Systems, and Applications Chapter 1 31 15. IBM Watson Academy. Cognitive computing resources including a public access Cognitive Computing MOOC. com/services/ weblectures/watsonacademy/#intro. 16. IBM Research: Cognitive computing. com/ cognitive-computing/#fbid¼-yy66f-kYIh. 17. International Cognitive Linguistics Association. Promotes approaches to linguistics research that are based on the perspective that language is an integral part of cognition. org/en. 18. ImageJ, an open source platform for scientific image analysis.

1-billion-word-language-modeling-benchmark, a standard training and test setup for natural language modeling experiments. Google Corporation. com/ciprian-chelba/1-billion-word-languagemodeling-benchmark. 2. Apache Lucene Core, a full-featured text search engine Java library. org/core/. 3. Apache UIMA project. Open source frameworks, tools, and annotators for facilitating the analysis of unstructured content such as text, audio and video. org/. 4. ACL Anthology: A Digital Archive of Research Papers in Computational Linguistics.

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