bookmarks (hide)3
- This page is devoted to learning methods building on kernels, such as the support vector machine. It grew out of earlier pages at the Max Planck Institute for Biological Cybernetics and at GMD FIRST, snapshots of which can be found here and here. In those days, information about kernel methods was sparse and nontrivial to find, and the kernel machines web site acted as a central repository for the field. It included a list of people working in the field, and online preprints of most publications. Nowadays, this no longer makes sense, partly because the field is very popular, so there are too many people and papers to make such lists useful, and partly because search engines do the job much more conveniently. But what really forced us to do a major update of the site was the fact that spammers discovered our site, and it was no longer possible to operate a system which was built on the trust that people who submit an entry do so to improve the quality of the site.
- The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into speech synthesis, character recognition and DNA sequencing. HTK is in use at hundreds of sites worldwide. HTK consists of a set of library modules and tools available in C source form. The tools provide sophisticated facilities for speech analysis, HMM training, testing and results analysis. The software supports HMMs using both continuous density mixture Gaussians and discrete distributions and can be used to build complex HMM systems. The HTK release contains extensive documentation and examples.
- Causal Reasoning, PGMs
publications (hide)38
- IEEE Computer, 48 (3): 20-23 (March 2015)
- Morgan & Claypool Publishers, San Rafael, Calif., (2010)
- Handbook of Statistics Elsevier Science Ltd, (2016)
- Proceedings of the 47th ACM Technical Symposium on Computing Science Education, page 401--406. New York, NY, USA, ACM, (2016)
- (2016)
- Proceedings of the 2004 International Workshop on Information Quality in Information Systems, page 68--73. New York, NY, USA, ACM, (2004)
- (2013)
- Packt Publishing, Birmingham, (2014)
- A K Peters, Natick, Mass., (1999)
- (2015)
- Journal of Child Language, (February 1981)
- SIGMOD Rec., 34 (3): 44--49 (September 2005)
- Journal of Engineering Education, 103 (2): 193--219 (2014)
- Journal of Engineering Education, (April 2017)
- Commun. ACM, 49 (3): 27--30 (March 2006)
- Commun. ACM, 56 (8): 10--11 (August 2013)
- Procedia - Social and Behavioral Sciences, (2013)
- Library & Information Science Research, 32 (4): 544 - 549 (2010)
- Wadsworth Publishing, Fourth edition, (1992)
- Pearson, Boston, Massachusetts, (2006)
- Bloomsbury Sigma, (2017)
- Pearson Education, Upper Saddle River, NJ, Third edition, (2009)
- TechTrends, 60 (6): 565--568 (2016)
- IEEE Transactions on Big Data, (2017)
- Journal of Engineering Education, 103 (4): 599--624 (2014)
- Social Science Research, (May 2017)
- Interdisciplinary Journal of Problem-Based Learning, (May 2006)
- Adv Child Dev Behav., (2014)
- Language, 89 (1): 4--29 (March 2013)
- Swansea University, (2013)
- Cambridge University Press, New York, NY, (2001)
- The Leadership Quarterly, 27 (2): 200--217 (April 2016)
- Higher Education, 57 (3): 373--391 (Mar 1, 2009)
- Synthesis Lectures on Information Concepts, Retrieval, and Services, 1 (1): 1 -- 111 (2009)
- Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, page 1419--1420. New York, NY, ACM, (2017)
- Information Processing & Management, 43 (1): 169--180 (January 2007)
- Very Short Introductions Oxford University Press, Oxford, UK, (2018)
- PODC, page 385-394. ACM, (2015)
