1,751 resources related to Unsupervised learning
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2013 International Conference on Machine Learning and Cybernetics (ICMLC)
Statistical Machine Learning, Intelligent & fuzzy control, Pattern Recognition , Ensemble method, Evolutionary computation, Fuzzy & rough set, Data & web mining , Intelligent Business Computing , Biometrics , Bioinformatics , Information retrieval, Cybersecurity, Web intelligence and technology, Semantics & ontology engineering, Social Networks & Ubiquitous Intelligence, Multicriteria decision making, Soft Computing, Intelligent Systems, Speech, Image & Video Processing, Decision Support System
2012 10th World Congress on Intelligent Control and Automation (WCICA 2012)
A. Intelligent Control B. Control Theory and Control Engineering C. Complex Systems and Intelligent Robots D. Others
Theoretical advances, applications and ideas in the fields of information theory (including application to biological sciences); communication, networking, signal, image and video processing; systems and control; learning and statistical inference.
2012 IEEE 15th International Conference on Computational Science and Engineering (CSE)
The Computational Science and Engineering area has earned prominence through advances in electronic and integrated technologies beginning in the 1940s. Current times are very exciting and the years to come will witness a proliferation in the use of various advanced computing systems. It is increasingly becoming an emerging and promising discipline in shaping future research and development activities in academia and industry, ranging from engineering, science, finance, economics, arts and humanitarian fields, especially when the solution of large and complex problems must cope with tight timing schedules.
Artificial intelligence techniques, including speech, voice, graphics, images, and documents; knowledge and data engineering tools and techniques; parallel and distributed processing; real-time distributed processing; system architectures, integration, and modeling; database design, modeling, and management; query design, and implementation languages; distributed database control; statistical databases; algorithms for data and knowledge management; performance evaluation of algorithms and systems; data communications aspects; system ...
Pena, J.; Vanegas, M.; Valencia, A. Reconfigurable Computing and FPGA's, 2006. ReConFig 2006. IEEE International Conference on, 2006
Kohonen maps are self-organizing neural networks that categorize input data, capturing its topology and probability distribution. Efficient hardware implementations of such maps require the definition of a certain number of simplifications to the original algorithm. In particular, multiplications have to be avoided by means of choices in the distance metric, the neighborhood function and the set of learning parameter values. ...
Kimura, M.; Saito, K.; Ueda, N. Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on, 2005
We propose a new unsupervised learning method called multinomial PCA (MuPCA) for efficiently extracting the major latent topics from a document stream based on the "bag-of-words" (BOW) representation of a document. Unlike PCA, MuPCA follows a suitable probabilistic generative model for the document stream represented as time-series of word-frequency vectors. Using real data of document streams on the Web, we ...
Szu, H. Information Acquisition, 2005 IEEE International Conference on, 2005
Current designs of info tech (IT) are relying on a traditional backbone. The most serious bottleneck, however in users' minds, is not the technology; rather the quality of service (QoS) for IP is not intelligent. Although our software-enhanced design is likewise constrained in hardware, but a recent breakthrough in the brain-style information science (BIS) based on the physics of unsupervised ...
Simpson, P.K. Fuzzy Systems, IEEE Transactions on, 1993
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Fischer, J.; Makinen, V.; Valimaki, N. Data Mining, 2008. ICDM '08. Eighth IEEE International Conference on, 2008
Let D1 and D2 be two databases (i.e. multisets) of d strings, over an alphabet Sigma, with overall length n. We study the problem of mining discriminative patterns between D1 and D2 - e.g., patterns that are frequent in one database but not in the other, emerging patterns, or patterns satisfying other frequency-related constraints. Using the algorithmic framework by Hui ...
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Mark Guzdial: 2012 IEEE Computer Society Undergraduate Teaching Award Winner
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TRIC VI @ Argentina
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Developing Point-of-Care Technologies
IEEE 125th Anniversary Media Event: Probabilistic Chips Slate
IEEE Medal of Honor Recipient (2008): Dr. Gordon Moore
IEEE Sections Congress 2008 Opening Highlights
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