Journal articles on the topic 'Bayesian intelligence'
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Zelterman, Daniel. "Bayesian Artificial Intelligence." Technometrics 47, no. 1 (February 2005): 101–2. http://dx.doi.org/10.1198/tech.2005.s836.
Full textRamoni, Marco F. "Bayesian Artificial Intelligence." Journal of the American Statistical Association 100, no. 471 (September 2005): 1096–97. http://dx.doi.org/10.1198/jasa.2005.s39.
Full textV. Jensen, Finn. "Bayesian Artificial Intelligence." Pattern Analysis and Applications 7, no. 2 (May 26, 2004): 221–23. http://dx.doi.org/10.1007/s10044-004-0214-5.
Full textVreeswijk, Gerard A. W. "Book Review: Bayesian Artificial Intelligence." Artificial Intelligence and Law 11, no. 4 (2003): 289–98. http://dx.doi.org/10.1023/b:arti.0000045970.25670.25.
Full textPascual-Garcia, Erica, and Guillermo De la Torre-Gea. "Bayesian Analysis to the experiences of corruption through Artificial Intelligence." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 103–7. http://dx.doi.org/10.31142/ijtsrd2443.
Full textMuhsina, Elvanisa Ayu, and Nurochman Nurochman. "SISTEM PAKAR REKOMENDASI PROFESI BERDASARKAN MULTIPLE INTELLIGENCES MENGGUNAKAN TEOREMA BAYESIAN." JISKA (Jurnal Informatika Sunan Kalijaga) 2, no. 1 (August 29, 2017): 16. http://dx.doi.org/10.14421/jiska.2017.21-03.
Full textTERZIYAN, VAGAN. "A BAYESIAN METANETWORK." International Journal on Artificial Intelligence Tools 14, no. 03 (June 2005): 371–84. http://dx.doi.org/10.1142/s0218213005002156.
Full textPate-Cornell, Elisabeth. "Fusion of Intelligence Information: A Bayesian Approach." Risk Analysis 22, no. 3 (June 2002): 445–54. http://dx.doi.org/10.1111/0272-4332.00056.
Full textAngelopoulos, Nicos, and James Cussens. "Bayesian learning of Bayesian networks with informative priors." Annals of Mathematics and Artificial Intelligence 54, no. 1-3 (November 2008): 53–98. http://dx.doi.org/10.1007/s10472-009-9133-x.
Full textSanghai, S., P. Domingos, and D. Weld. "Relational Dynamic Bayesian Networks." Journal of Artificial Intelligence Research 24 (December 2, 2005): 759–97. http://dx.doi.org/10.1613/jair.1625.
Full textTang, Xiao-liang, and Min Han. "Semi-supervised Bayesian ARTMAP." Applied Intelligence 33, no. 3 (February 14, 2009): 302–17. http://dx.doi.org/10.1007/s10489-009-0167-x.
Full textKlami, Arto. "Bayesian object matching." Machine Learning 92, no. 2-3 (April 30, 2013): 225–50. http://dx.doi.org/10.1007/s10994-013-5357-4.
Full textRosman, Benjamin, Majd Hawasly, and Subramanian Ramamoorthy. "Bayesian policy reuse." Machine Learning 104, no. 1 (February 22, 2016): 99–127. http://dx.doi.org/10.1007/s10994-016-5547-y.
Full textFrancis, George, and Emil O. W. Kirkegaard. "National Intelligence and Economic Growth: A Bayesian Update." Mankind Quarterly 63, no. 1 (2022): 9–78. http://dx.doi.org/10.46469/mq.2022.63.1.2.
Full textJun, Sunghae. "Frequentist and Bayesian Learning Approaches to Artificial Intelligence." International Journal of Fuzzy Logic and Intelligent Systems 16, no. 2 (June 30, 2016): 111–18. http://dx.doi.org/10.5391/ijfis.2016.16.2.111.
Full textGarbolino, Paolo. "Bayesian theory and artificial intelligence: The quarrelsome marriage." International Journal of Man-Machine Studies 27, no. 5-6 (November 1987): 729–42. http://dx.doi.org/10.1016/s0020-7373(87)80027-5.
Full textVÉRONIQUE, DELCROIX, MAALEJ MOHAMED-AMINE, and PIECHOWIAK SYLVAIN. "BAYESIAN NETWORKS VERSUS OTHER PROBABILISTIC MODELS FOR THE MULTIPLE DIAGNOSIS OF LARGE DEVICES." International Journal on Artificial Intelligence Tools 16, no. 03 (June 2007): 417–33. http://dx.doi.org/10.1142/s0218213007003345.
Full textLIU, WEI-YI, and KUN YUE. "BAYESIAN NETWORK WITH INTERVAL PROBABILITY PARAMETERS." International Journal on Artificial Intelligence Tools 20, no. 05 (October 2011): 911–39. http://dx.doi.org/10.1142/s0218213011000449.
Full textTang, Kewei, Zhixun Su, Jie Zhang, Lihong Cui, Wei Jiang, Xiaonan Luo, and Xiyan Sun. "Bayesian rank penalization." Neural Networks 116 (August 2019): 246–56. http://dx.doi.org/10.1016/j.neunet.2019.04.018.
Full textMonderer, D., and M. Tennenholtz. "Dynamic Non-Bayesian Decision Making." Journal of Artificial Intelligence Research 7 (November 1, 1997): 231–48. http://dx.doi.org/10.1613/jair.447.
Full textHubin, Aliaksandr, Geir Storvik, and Florian Frommlet. "Flexible Bayesian Nonlinear Model Configuration." Journal of Artificial Intelligence Research 72 (November 22, 2021): 901–42. http://dx.doi.org/10.1613/jair.1.13047.
Full textYap, Ghim-Eng, Ah-Hwee Tan, and Hwee-Hwa Pang. "Explaining inferences in Bayesian networks." Applied Intelligence 29, no. 3 (October 7, 2007): 263–78. http://dx.doi.org/10.1007/s10489-007-0093-8.
Full textKyburg, Henry E. "Bayesian and non-bayesian evidential updating." Artificial Intelligence 31, no. 3 (March 1987): 271–93. http://dx.doi.org/10.1016/0004-3702(87)90068-3.
Full textFrühwirth-Schnatter, Sylvia. "On fuzzy Bayesian inference." Fuzzy Sets and Systems 60, no. 1 (November 1993): 41–58. http://dx.doi.org/10.1016/0165-0114(93)90288-s.
Full textJamil, Waqas, and Abdelhamid Bouchachia. "Online Bayesian shrinkage regression." Neural Computing and Applications 32, no. 23 (May 27, 2020): 17759–67. http://dx.doi.org/10.1007/s00521-020-04947-y.
Full textJing, Yushi, Vladimir Pavlović, and James M. Rehg. "Boosted Bayesian network classifiers." Machine Learning 73, no. 2 (August 15, 2008): 155–84. http://dx.doi.org/10.1007/s10994-008-5065-7.
Full textKhan, Suleiman A., Eemeli Leppäaho, and Samuel Kaski. "Bayesian multi-tensor factorization." Machine Learning 105, no. 2 (June 10, 2016): 233–53. http://dx.doi.org/10.1007/s10994-016-5563-y.
Full textDe Sousa Ribeiro, Fabio, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, and Stefanos Kollias. "Deep Bayesian Self-Training." Neural Computing and Applications 32, no. 9 (July 10, 2019): 4275–91. http://dx.doi.org/10.1007/s00521-019-04332-4.
Full textSun, Xingping, Chang Chen, Lu Wang, Hongwei Kang, Yong Shen, and Qingyi Chen. "Hybrid Optimization Algorithm for Bayesian Network Structure Learning." Information 10, no. 10 (September 24, 2019): 294. http://dx.doi.org/10.3390/info10100294.
Full textFujimaki, Ryohei, Takehisa Yairi, and Kazuo Machida. "Sparse Bayesian Learning for Nonstationary Data Sources." Transactions of the Japanese Society for Artificial Intelligence 23 (2008): 50–57. http://dx.doi.org/10.1527/tjsai.23.50.
Full textOrdyniak, S., and S. Szeider. "Parameterized Complexity Results for Exact Bayesian Network Structure Learning." Journal of Artificial Intelligence Research 46 (March 5, 2013): 263–302. http://dx.doi.org/10.1613/jair.3744.
Full textCodetta-Raiteri, Daniele. "Editorial for the Special Issue on “Bayesian Networks: Inference Algorithms, Applications, and Software Tools”." Algorithms 14, no. 5 (April 27, 2021): 138. http://dx.doi.org/10.3390/a14050138.
Full textHanif, Ayub, and Robert Elliott Smith. "State Space Modeling & Bayesian Inference with Computational Intelligence." New Mathematics and Natural Computation 11, no. 01 (March 2015): 71–101. http://dx.doi.org/10.1142/s1793005715500040.
Full textYan, Dingqi, Qi Zhou, Jianzhou Wang, and Na Zhang. "Bayesian regularisation neural network based on artificial intelligence optimisation." International Journal of Production Research 55, no. 8 (September 29, 2016): 2266–87. http://dx.doi.org/10.1080/00207543.2016.1237785.
Full textNadiri, Ata Allah, Nima Chitsazan, Frank T. C. Tsai, and Asghar Asghari Moghaddam. "Bayesian Artificial Intelligence Model Averaging for Hydraulic Conductivity Estimation." Journal of Hydrologic Engineering 19, no. 3 (March 2014): 520–32. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000824.
Full textSchocken, S., and P. R. Kleindorfer. "Artificial intelligence dialects of the Bayesian belief revision language." IEEE Transactions on Systems, Man, and Cybernetics 19, no. 5 (1989): 1106–21. http://dx.doi.org/10.1109/21.44027.
Full textDurante, Daniele, Sally Paganin, Bruno Scarpa, and David B. Dunson. "Bayesian modelling of networks in complex business intelligence problems." Journal of the Royal Statistical Society: Series C (Applied Statistics) 66, no. 3 (July 27, 2016): 555–80. http://dx.doi.org/10.1111/rssc.12168.
Full textMotzek, Alexander, and Ralf Möller. "Indirect Causes in Dynamic Bayesian Networks Revisited." Journal of Artificial Intelligence Research 59 (May 27, 2017): 1–58. http://dx.doi.org/10.1613/jair.5361.
Full textAussem, Alex. "Bayesian networks." Neurocomputing 73, no. 4-6 (January 2010): 561–62. http://dx.doi.org/10.1016/j.neucom.2009.11.001.
Full textImazawa, Kei, and Yoshiteru Katsumura. "Field Failure Prediction using Bayesian Network." Transactions of the Japanese Society for Artificial Intelligence 31, no. 2 (2016): L—D43_1–9. http://dx.doi.org/10.1527/tjsai.l-d43.
Full textJA, Duenas Santana. "Using Bayesian Networks for Quantifying Domino Effect Probability in a Hydrocarbon Processing Area." Petroleum & Petrochemical Engineering Journal 5, no. 3 (2021): 1–10. http://dx.doi.org/10.23880/ppej-16000274.
Full textHalpern, J. Y. "Conditional Plausibility Measures and Bayesian Networks." Journal of Artificial Intelligence Research 14 (June 1, 2001): 359–89. http://dx.doi.org/10.1613/jair.817.
Full textAhn, Jae Joon, Hyun Woo Byun, Kyong Joo Oh, and Tae Yoon Kim. "Bayesian forecaster using class-based optimization." Applied Intelligence 36, no. 3 (January 18, 2011): 553–63. http://dx.doi.org/10.1007/s10489-011-0275-2.
Full textSasu, L. M., and R. Andonie. "Bayesian ARTMAP for regression." Neural Networks 46 (October 2013): 23–31. http://dx.doi.org/10.1016/j.neunet.2013.04.006.
Full textMancuhan, Koray, and Chris Clifton. "Combating discrimination using Bayesian networks." Artificial Intelligence and Law 22, no. 2 (February 17, 2014): 211–38. http://dx.doi.org/10.1007/s10506-014-9156-4.
Full textKHREISAT, LAILA. "REAL TIME INFERENCE IN BAYESIAN NETWORKS: AN ANYTIME APPROACH." International Journal on Artificial Intelligence Tools 14, no. 03 (June 2005): 477–89. http://dx.doi.org/10.1142/s0218213005002211.
Full textKawahara, Yoshinobu, Takehisa Yairi, and Kazuo Machida. "Spacecraft Diagnosis Method Using Dynamic Bayesian Networks." Transactions of the Japanese Society for Artificial Intelligence 21 (2006): 45–54. http://dx.doi.org/10.1527/tjsai.21.45.
Full textDaly, R., and Q. Shen. "Learning Bayesian Network Equivalence Classes with Ant Colony Optimization." Journal of Artificial Intelligence Research 35 (June 30, 2009): 391–447. http://dx.doi.org/10.1613/jair.2681.
Full textUhm, Daiho, Jea-Bok Ryu, and Sunghae Jun. "Patent Data Analysis of Artificial Intelligence Using Bayesian Interval Estimation." Applied Sciences 10, no. 2 (January 13, 2020): 570. http://dx.doi.org/10.3390/app10020570.
Full textLüdtke, Stefan, and Thomas Kirste. "Lifted Bayesian Filtering in Multiset Rewriting Systems." Journal of Artificial Intelligence Research 69 (December 7, 2020): 1203–54. http://dx.doi.org/10.1613/jair.1.12066.
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