http://www.bibsonomy.org/concept/tag/BayesianBibSonomy RSS Feed for /concept/tag/Bayesianhttp://www.bibsonomy.org/bibtex/28103f08cea3b4f33fa8e62ce0560e6ef/okohonenokohonen2008-11-18T09:22:17+01:00inside-outside dirichlet generative bayesian mcmc sparse pcfg <span style="color:#555555;">Mark <a href="http://www.bibsonomy.org/author/Johnson">Johnson</a> und Thomas <a href="http://www.bibsonomy.org/author/Griffiths">Griffiths</a> und Sharon <a href="http://www.bibsonomy.org/author/Goldwater">Goldwater</a> </span>(<em>2007</em>) <a href="http://www.bibsonomy.org/bibtex/28103f08cea3b4f33fa8e62ce0560e6ef/okohonen"><i>Bayesian Inference for PCFGs via Markov Chain Monte Carlo.</i></a><em>Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, </em><em>Seite139--146. </em><em>Rochester, New York, </em><em>Association for Computational Linguistics, </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/okohonen/inside-outside">inside-outside</a> <a href="http://www.bibsonomy.org/user/okohonen/dirichlet">dirichlet</a> <a href="http://www.bibsonomy.org/user/okohonen/generative">generative</a> <a href="http://www.bibsonomy.org/user/okohonen/bayesian">bayesian</a> <a href="http://www.bibsonomy.org/user/okohonen/mcmc">mcmc</a> <a href="http://www.bibsonomy.org/user/okohonen/sparse">sparse</a> <a href="http://www.bibsonomy.org/user/okohonen/pcfg">pcfg</a>] <a href="http://www.aclweb.org/anthology-new/N/N07/N07-1018.bib">URL</a>http://www.bibsonomy.org/bibtex/26471adbad1a801457006038639c137fc/seandalaiseandalai2008-11-03T17:27:40+01:00annotation 2008 bayesian <span style="color:#555555;">Bob <a href="http://www.bibsonomy.org/author/Carpenter">Carpenter</a> </span>(<em>2008</em>) <a href="http://www.bibsonomy.org/bibtex/26471adbad1a801457006038639c137fc/seandalai"><i>Hierarchical Bayesian Models of Categorical Data Analysis.</i></a><em>Proceedings of the New York Academy of Sciences 3rd Annual Machine Learning Symposium, </em><em>New York, NY, </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/seandalai/annotation">annotation</a> <a href="http://www.bibsonomy.org/user/seandalai/2008">2008</a> <a href="http://www.bibsonomy.org/user/seandalai/bayesian">bayesian</a>] <a href="http://lingpipe.files.wordpress.com/2008/09/hierarchical-data-annotation-nyas-08.pdf">URL</a>http://www.bibsonomy.org/bibtex/2bd8830f12f3ce0edac6181040d9a5136/abhijeet.sangwanabhijeet.sangwan2008-10-19T22:54:19+02:00Bayesian speech Neyman-Pearson Activity voice Competitive VAD Detection Detector <span style="color:#555555;">Abhijeet <a href="http://www.bibsonomy.org/author/Sangwan">Sangwan</a> und W.P. <a href="http://www.bibsonomy.org/author/Zhu">Zhu</a> und M.O. <a href="http://www.bibsonomy.org/author/Ahmad">Ahmad</a> </span>(<em>2006</em>) <a href="http://www.bibsonomy.org/bibtex/2bd8830f12f3ce0edac6181040d9a5136/abhijeet.sangwan"><i>ON THE COMPETITIVE NEYMAN-PEARSON APPROACH FOR COMPOSITE HYPOTHESIS TESTING AND ITS APPLICATION IN VOICE ACTIVITY DETECTION.</i></a><em>ICASSP, </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Bayesian">Bayesian</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/speech">speech</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Neyman-Pearson">Neyman-Pearson</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Activity">Activity</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/voice">voice</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Competitive">Competitive</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/VAD">VAD</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Detection">Detection</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Detector">Detector</a>] <a href="http://sites.google.com/site/publicationsabhijeetsangwan/Home/publication-pdfs/Template.pdf?attredirects=0">URL</a>http://www.bibsonomy.org/bibtex/242aae2f667acf81c89862453905e04c0/abhijeet.sangwanabhijeet.sangwan2008-10-18T18:04:13+02:00Bayesian speech Neyman-Pearson Activity voice Competitive VAD Detection Detector Testing Hypotheses <span style="color:#555555;">Sangwan <a href="http://www.bibsonomy.org/author/Abhijeet">Abhijeet</a> und Zhu W. <a href="http://www.bibsonomy.org/author/P.">P.</a> und Ahmad M. <a href="http://www.bibsonomy.org/author/O.">O.</a> </span>(<em>2007</em>) <a href="http://www.bibsonomy.org/bibtex/242aae2f667acf81c89862453905e04c0/abhijeet.sangwan"><i>Design and Performance Analysis of Bayesian, Neyman-Pearson and Competitive Neyman-Pearson Voice Activity Detectors.</i></a><em>IEEE Transactions on Signal Processing</em><em>Volume55. </em><em>Seite4341-4353. </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Bayesian">Bayesian</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/speech">speech</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Neyman-Pearson">Neyman-Pearson</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Activity">Activity</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/voice">voice</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Competitive">Competitive</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/VAD">VAD</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Detection">Detection</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Detector">Detector</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Testing">Testing</a> <a href="http://www.bibsonomy.org/user/abhijeet.sangwan/Hypotheses">Hypotheses</a>] <a href="http://sites.google.com/site/publicationsabhijeetsangwan/Home/publication-pdfs/double.pdf?attredirects=0">URL</a>http://www.bibsonomy.org/bibtex/2b8df74a659a212431ebe045f129c5fe9/yishyish2008-09-16T18:56:36+02:00AIED elearning IST learner bayesian BayesianBeliefNetwork openlearnermodels modelling learning education wleformativeeassessment <span style="color:#555555;">Juan-Diego <a href="http://www.bibsonomy.org/author/Zapata-Rivera">Zapata-Rivera</a> und Jim E. <a href="http://www.bibsonomy.org/author/Greer">Greer</a> </span>(<em>2004</em>) <a href="http://www.bibsonomy.org/bibtex/2b8df74a659a212431ebe045f129c5fe9/yish"><i>Interacting with Inspectable Bayesian Student Models.</i></a><em>International Journal of Artificial Intelligence in Education</em><em>Volume14. </em><em>Seite127-163. </em><em>IOS Press, </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/yish/AIED">AIED</a> <a href="http://www.bibsonomy.org/user/yish/elearning">elearning</a> <a href="http://www.bibsonomy.org/user/yish/IST">IST</a> <a href="http://www.bibsonomy.org/user/yish/learner">learner</a> <a href="http://www.bibsonomy.org/user/yish/bayesian">bayesian</a> <a href="http://www.bibsonomy.org/user/yish/BayesianBeliefNetwork">BayesianBeliefNetwork</a> <a href="http://www.bibsonomy.org/user/yish/openlearnermodels">openlearnermodels</a> <a href="http://www.bibsonomy.org/user/yish/modelling">modelling</a> <a href="http://www.bibsonomy.org/user/yish/learning">learning</a> <a href="http://www.bibsonomy.org/user/yish/education">education</a> <a href="http://www.bibsonomy.org/user/yish/wleformativeeassessment">wleformativeeassessment</a>] <a href="http://nth.wpi.edu/ResearchTopics/newPapers2006/pardosUM2007/releatedPapersByOthers/Zapata04%5B1%5D.pdf">URL</a>http://www.bibsonomy.org/bibtex/2b67d1053cfc84a6ef72e2613c093cb78/yishyish2008-09-06T03:37:49+02:00assesment eassessment styles web its learning modelling elearning bayesian AI artificial wleformativeeassessment intelligence <span style="color:#555555;">P. <a href="http://www.bibsonomy.org/author/García">Garc&#237;a</a> und S. <a href="http://www.bibsonomy.org/author/Schiaffino">Schiaffino</a> und A. <a href="http://www.bibsonomy.org/author/Amandi">Amandi</a> </span>(<em>2008</em>) <a href="http://www.bibsonomy.org/bibtex/2b67d1053cfc84a6ef72e2613c093cb78/yish"><i>An enhanced Bayesian model to detect students' learning styles in Web-based courses.</i></a><em>Journal of Computer Assisted Learning</em><em>Volume24. </em><em>Seite305-315. </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/yish/assesment">assesment</a> <a href="http://www.bibsonomy.org/user/yish/eassessment">eassessment</a> <a href="http://www.bibsonomy.org/user/yish/styles">styles</a> <a href="http://www.bibsonomy.org/user/yish/web">web</a> <a href="http://www.bibsonomy.org/user/yish/its">its</a> <a href="http://www.bibsonomy.org/user/yish/learning">learning</a> <a href="http://www.bibsonomy.org/user/yish/modelling">modelling</a> <a href="http://www.bibsonomy.org/user/yish/elearning">elearning</a> <a href="http://www.bibsonomy.org/user/yish/bayesian">bayesian</a> <a href="http://www.bibsonomy.org/user/yish/AI">AI</a> <a href="http://www.bibsonomy.org/user/yish/artificial">artificial</a> <a href="http://www.bibsonomy.org/user/yish/wleformativeeassessment">wleformativeeassessment</a> <a href="http://www.bibsonomy.org/user/yish/intelligence">intelligence</a>] <a href="http://dx.doi.org/10.1111/j.1365-2729.2007.00262.x">URL</a>http://www.bibsonomy.org/bibtex/29bba65a708980f496e7962cf9fd9153c/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00time-series Bayesian adaptive prediction inference, networks, learning, backpropagation, intelligence, programming, genetic evolutionary algorithms, artificial computation, polynomial <span style="color:#555555;">Nikolay <a href="http://www.bibsonomy.org/author/Nikolaev">Nikolaev</a> und Hitoshi <a href="http://www.bibsonomy.org/author/Iba">Iba</a> </span>(<em>2006</em>) <a href="http://www.bibsonomy.org/bibtex/29bba65a708980f496e7962cf9fd9153c/brazovayeye"><i>Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods.</i></a><em>Springer, </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/brazovayeye/time-series">time-series</a> <a href="http://www.bibsonomy.org/user/brazovayeye/Bayesian">Bayesian</a> <a href="http://www.bibsonomy.org/user/brazovayeye/adaptive">adaptive</a> <a href="http://www.bibsonomy.org/user/brazovayeye/prediction">prediction</a> <a href="http://www.bibsonomy.org/user/brazovayeye/inference,">inference,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/networks,">networks,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/learning,">learning,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/backpropagation,">backpropagation,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/intelligence,">intelligence,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/programming,">programming,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/genetic">genetic</a> <a href="http://www.bibsonomy.org/user/brazovayeye/evolutionary">evolutionary</a> <a href="http://www.bibsonomy.org/user/brazovayeye/algorithms,">algorithms,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/artificial">artificial</a> <a href="http://www.bibsonomy.org/user/brazovayeye/computation,">computation,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/polynomial">polynomial</a>]http://www.bibsonomy.org/bibtex/2387e39e186dfdd975392f6d88eefd69f/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00Bayesian model HBOA, building BOA, algorithm, Sporadic Hierarchical Estimation distribution of Efficiency genetic algorithms, enhancement, optimisation <span style="color:#555555;">Martin <a href="http://www.bibsonomy.org/author/Pelikan">Pelikan</a> und Kumara <a href="http://www.bibsonomy.org/author/Sastry">Sastry</a> und David E. <a href="http://www.bibsonomy.org/author/Goldberg">Goldberg</a> </span>(<em>2008</em>) <a href="http://www.bibsonomy.org/bibtex/2387e39e186dfdd975392f6d88eefd69f/brazovayeye"><i>Sporadic model building for efficiency enhancement of the hierarchical BOA.</i></a><em>Genetic Programming and Evolvable Machines</em><em>Volume9. </em><em>Seite53--84. </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/brazovayeye/Bayesian">Bayesian</a> <a href="http://www.bibsonomy.org/user/brazovayeye/model">model</a> <a href="http://www.bibsonomy.org/user/brazovayeye/HBOA,">HBOA,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/building">building</a> <a href="http://www.bibsonomy.org/user/brazovayeye/BOA,">BOA,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/algorithm,">algorithm,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/Sporadic">Sporadic</a> <a href="http://www.bibsonomy.org/user/brazovayeye/Hierarchical">Hierarchical</a> <a href="http://www.bibsonomy.org/user/brazovayeye/Estimation">Estimation</a> <a href="http://www.bibsonomy.org/user/brazovayeye/distribution">distribution</a> <a href="http://www.bibsonomy.org/user/brazovayeye/of">of</a> <a href="http://www.bibsonomy.org/user/brazovayeye/Efficiency">Efficiency</a> <a href="http://www.bibsonomy.org/user/brazovayeye/genetic">genetic</a> <a href="http://www.bibsonomy.org/user/brazovayeye/algorithms,">algorithms,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/enhancement,">enhancement,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/optimisation">optimisation</a>]http://www.bibsonomy.org/bibtex/2797af734fa2ebc20d8ad574c5a7eeddd/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00extraction, Bayes feature-learning classification, fingerprint methods, programming, method, discovery, processing NIST-4 feature algorithms, primitive Bayesian algorithm, image (artificial learning operator composite intelligence), visual databases genetic classification identification, database, operations classifier, <span style="color:#555555;">Xuejun <a href="http://www.bibsonomy.org/author/Tan">Tan</a> und B. <a href="http://www.bibsonomy.org/author/Bhanu">Bhanu</a> und Yingqiang <a href="http://www.bibsonomy.org/author/Lin">Lin</a> </span>(<em>Aug</em>) <a href="http://www.bibsonomy.org/bibtex/2797af734fa2ebc20d8ad574c5a7eeddd/brazovayeye"><i>Fingerprint classification based on learned features.</i></a><em>IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews</em><em>Volume35. </em><em>Seite287--300. </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/brazovayeye/extraction,">extraction,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/Bayes">Bayes</a> <a href="http://www.bibsonomy.org/user/brazovayeye/feature-learning">feature-learning</a> <a href="http://www.bibsonomy.org/user/brazovayeye/classification,">classification,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/fingerprint">fingerprint</a> <a href="http://www.bibsonomy.org/user/brazovayeye/methods,">methods,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/programming,">programming,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/method,">method,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/discovery,">discovery,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/processing">processing</a> <a href="http://www.bibsonomy.org/user/brazovayeye/NIST-4">NIST-4</a> <a href="http://www.bibsonomy.org/user/brazovayeye/feature">feature</a> <a href="http://www.bibsonomy.org/user/brazovayeye/algorithms,">algorithms,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/primitive">primitive</a> <a href="http://www.bibsonomy.org/user/brazovayeye/Bayesian">Bayesian</a> <a href="http://www.bibsonomy.org/user/brazovayeye/algorithm,">algorithm,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/image">image</a> <a href="http://www.bibsonomy.org/user/brazovayeye/(artificial">(artificial</a> <a href="http://www.bibsonomy.org/user/brazovayeye/learning">learning</a> <a href="http://www.bibsonomy.org/user/brazovayeye/operator">operator</a> <a href="http://www.bibsonomy.org/user/brazovayeye/composite">composite</a> <a href="http://www.bibsonomy.org/user/brazovayeye/intelligence),">intelligence),</a> <a href="http://www.bibsonomy.org/user/brazovayeye/visual">visual</a> <a href="http://www.bibsonomy.org/user/brazovayeye/databases">databases</a> <a href="http://www.bibsonomy.org/user/brazovayeye/genetic">genetic</a> <a href="http://www.bibsonomy.org/user/brazovayeye/classification">classification</a> <a href="http://www.bibsonomy.org/user/brazovayeye/identification,">identification,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/database,">database,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/operations">operations</a> <a href="http://www.bibsonomy.org/user/brazovayeye/classifier,">classifier,</a>]http://www.bibsonomy.org/bibtex/23283d42f2fbfc56b0b16fa99cf2a60e8/brazovayeyebrazovayeye2008-06-19T17:46:40+02:00evolution, parsimony Bayesian inheritance, pressure, adaptive data selection subset razor, programming, Occam's genetic algorithms, incremental probabilistic <span style="color:#555555;">Byoung-Tak <a href="http://www.bibsonomy.org/author/Zhang">Zhang</a> </span>(<em>2000</em>) <a href="http://www.bibsonomy.org/bibtex/23283d42f2fbfc56b0b16fa99cf2a60e8/brazovayeye"><i>Bayesian Methods for Efficient Genetic Programming.</i></a><em>Genetic Programming and Evolvable Machines</em><em>Volume1. </em><em>Seite217--242. </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/brazovayeye/evolution,">evolution,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/parsimony">parsimony</a> <a href="http://www.bibsonomy.org/user/brazovayeye/Bayesian">Bayesian</a> <a href="http://www.bibsonomy.org/user/brazovayeye/inheritance,">inheritance,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/pressure,">pressure,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/adaptive">adaptive</a> <a href="http://www.bibsonomy.org/user/brazovayeye/data">data</a> <a href="http://www.bibsonomy.org/user/brazovayeye/selection">selection</a> <a href="http://www.bibsonomy.org/user/brazovayeye/subset">subset</a> <a href="http://www.bibsonomy.org/user/brazovayeye/razor,">razor,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/programming,">programming,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/Occam&#039;s">Occam&#039;s</a> <a href="http://www.bibsonomy.org/user/brazovayeye/genetic">genetic</a> <a href="http://www.bibsonomy.org/user/brazovayeye/algorithms,">algorithms,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/incremental">incremental</a> <a href="http://www.bibsonomy.org/user/brazovayeye/probabilistic">probabilistic</a>] <a href="http://citeseer.ist.psu.edu/455254.html">URL</a>http://www.bibsonomy.org/bibtex/2b142e489b96aa53eabb1213c9eb306a6/brazovayeyebrazovayeye2008-06-19T17:35:00+02:00agents, intelligent knowledge state finite acquisition, templates, software programming, autonomous algorithms, patterns, Bayesian belief matching, machines, development, networks, dialogue-act conversational matching pattern genetic mental behavioural bases, language finite-state <span style="color:#555555;">Jin-Hyuk <a href="http://www.bibsonomy.org/author/Hong">Hong</a> und Sungsoo <a href="http://www.bibsonomy.org/author/Lim">Lim</a> und Sung-Bae <a href="http://www.bibsonomy.org/author/Cho">Cho</a> </span>(<em>2007</em>) <a href="http://www.bibsonomy.org/bibtex/2b142e489b96aa53eabb1213c9eb306a6/brazovayeye"><i>Autonomous Language Development Using Dialogue-Act Templates and Genetic Programming.</i></a><em>IEEE Transactions on Evolutionary Computation</em><em>Volume11. </em><em>Seite213--225. </em> [<a href="http://www.bibsonomy.org/">BibSonomy</a>: <a href="http://www.bibsonomy.org/user/brazovayeye/agents,">agents,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/intelligent">intelligent</a> <a href="http://www.bibsonomy.org/user/brazovayeye/knowledge">knowledge</a> <a href="http://www.bibsonomy.org/user/brazovayeye/state">state</a> <a href="http://www.bibsonomy.org/user/brazovayeye/finite">finite</a> <a href="http://www.bibsonomy.org/user/brazovayeye/acquisition,">acquisition,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/templates,">templates,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/software">software</a> <a href="http://www.bibsonomy.org/user/brazovayeye/programming,">programming,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/autonomous">autonomous</a> <a href="http://www.bibsonomy.org/user/brazovayeye/algorithms,">algorithms,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/patterns,">patterns,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/Bayesian">Bayesian</a> <a href="http://www.bibsonomy.org/user/brazovayeye/belief">belief</a> <a href="http://www.bibsonomy.org/user/brazovayeye/matching,">matching,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/machines,">machines,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/development,">development,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/networks,">networks,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/dialogue-act">dialogue-act</a> <a href="http://www.bibsonomy.org/user/brazovayeye/conversational">conversational</a> <a href="http://www.bibsonomy.org/user/brazovayeye/matching">matching</a> <a href="http://www.bibsonomy.org/user/brazovayeye/pattern">pattern</a> <a href="http://www.bibsonomy.org/user/brazovayeye/genetic">genetic</a> <a href="http://www.bibsonomy.org/user/brazovayeye/mental">mental</a> <a href="http://www.bibsonomy.org/user/brazovayeye/behavioural">behavioural</a> <a href="http://www.bibsonomy.org/user/brazovayeye/bases,">bases,</a> <a href="http://www.bibsonomy.org/user/brazovayeye/language">language</a> <a href="http://www.bibsonomy.org/user/brazovayeye/finite-state">finite-state</a>]http://www.bibsonomy.org/bibtex/298a97dfffc871d0e084bb2c8e85a4c8f/brazovayeyebrazovayeye2008-06-19T17:35:00+02:00Bayesian programming, genetic uncertainty, algorithms, Knightian rationality <span style="color:#555555;">Terje <a href="http://www.bibsonomy.org/author/Lensberg">Lensberg</a> </span>(<em>1999</em>) <a 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