{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T10:48:11Z","timestamp":1725533291983},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642029059"},{"type":"electronic","value":"9783642029066"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"DOI":"10.1007\/978-3-642-02906-6_15","type":"book-chapter","created":{"date-parts":[[2009,6,5]],"date-time":"2009-06-05T23:07:29Z","timestamp":1244243249000},"page":"156-167","source":"Crossref","is-referenced-by-count":4,"title":["Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks"],"prefix":"10.1007","author":[{"given":"Sourour","family":"Ammar","sequence":"first","affiliation":[]},{"given":"Philippe","family":"Leray","sequence":"additional","affiliation":[]},{"given":"Boris","family":"Defourny","sequence":"additional","affiliation":[]},{"given":"Louis","family":"Wehenkel","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"15_CR1","volume-title":"Probabilistic Networks and Expert Systems","author":"R. Cowell","year":"1999","unstructured":"Cowell, R., Dawid, A., Lauritzen, S., Spiegelhalter, D.: Probabilistic Networks and Expert Systems. Springer, Heidelberg (1999)"},{"key":"15_CR2","first-page":"18","volume-title":"Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI 2008)","author":"V. Auvray","year":"2008","unstructured":"Auvray, V., Wehenkel, L.: Learning inclusion-optimal chordal graphs. In: Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI 2008), pp. 18\u201325. Morgan Kaufmann, San Francisco (2008)"},{"issue":"1","key":"15_CR3","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s10994-006-6226-1","volume":"63","author":"P. Geurts","year":"2006","unstructured":"Geurts, P., Ernst, D., Wehenkel, L.: Extremely randomized trees. Machine Learning\u00a063(1), 3\u201342 (2006)","journal-title":"Machine Learning"},{"issue":"4","key":"15_CR4","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/S0167-9473(01)00066-4","volume":"38","author":"G. Ridgeway","year":"2002","unstructured":"Ridgeway, G.: Looking for lumps: boosting and bagging for density estimation. Computational Statistics & Data Analysis\u00a038(4), 379\u2013392 (2002)","journal-title":"Computational Statistics & Data Analysis"},{"key":"15_CR5","unstructured":"Ammar, S., Leray, P., Defourny, B., Wehenkel, L.: High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks. In: Proceedings of the fourth European Workshop on Probabilistic Graphical Models (PGM 2008), pp. 9\u201316 (2008)"},{"issue":"3","key":"15_CR6","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1109\/TIT.1968.1054142","volume":"14","author":"C. Chow","year":"1968","unstructured":"Chow, C., Liu, C.: Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory\u00a014(3), 462\u2013467 (1968)","journal-title":"IEEE Transactions on Information Theory"},{"issue":"2-3","key":"15_CR7","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1023\/A:1007469629108","volume":"29","author":"D. Chickering","year":"1997","unstructured":"Chickering, D., Heckerman, D.: Efficient approximations for the marginal likelihood of bayesian networks with hidden variables. Machine Learning\u00a029(2-3), 181\u2013212 (1997)","journal-title":"Machine Learning"},{"key":"15_CR8","series-title":"Lecture Notes in Mathematics","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1007\/BFb0069178","volume-title":"Combinatorial Mathematics V","author":"R. Robinson","year":"1977","unstructured":"Robinson, R.: Counting unlabeled acyclic digraphs. In: Little, C.H.C. (ed.) Combinatorial Mathematics V. Lecture Notes in Mathematics, vol.\u00a0622, pp. 28\u201343. Springer, Berlin (1977)"},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"1535","DOI":"10.1080\/01621459.1994.10476894","volume":"89","author":"D. Madigan","year":"1994","unstructured":"Madigan, D., Raftery, A.: Model selection and accounting for model uncertainty in graphical models using occam\u2019s window. The American Statistical Association\u00a089, 1535\u20131546 (1994)","journal-title":"The American Statistical Association"},{"key":"15_CR10","doi-asserted-by":"publisher","first-page":"215","DOI":"10.2307\/1403615","volume":"63","author":"D. Madigan","year":"1995","unstructured":"Madigan, D., York, J.: Bayesian graphical models for discrete data. International Statistical Review\u00a063, 215\u2013232 (1995)","journal-title":"International Statistical Review"},{"key":"15_CR11","first-page":"201","volume-title":"Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence (UAI 2000)","author":"N. Friedman","year":"2000","unstructured":"Friedman, N., Koller, D.: Being bayesian about network structure. In: Boutilier, C., Goldszmidt, M. (eds.) Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence (UAI 2000), pp. 201\u2013210. Morgan Kaufmann Publishers, San Francisco (2000)"},{"key":"15_CR12","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/0004-3702(86)90072-X","volume":"29","author":"J. Pearl","year":"1986","unstructured":"Pearl, J.: Fusion, propagation, and structuring in belief networks. Artificial Intelligence\u00a029, 241\u2013288 (1986)","journal-title":"Artificial Intelligence"},{"key":"15_CR13","unstructured":"Meila-Predoviciu, M.: Learning with Mixtures of Trees. PhD thesis, MIT (1999)"},{"key":"15_CR14","series-title":"Monographs on Statistics and Applied Probability","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-4541-9","volume-title":"An introduction to the Bootstrap","author":"B. Efron","year":"1993","unstructured":"Efron, B., Tibshirani, R.J.: An introduction to the Bootstrap. Monographs on Statistics and Applied Probability, vol.\u00a057. Chapman and Hall, Boca Raton (1993)"},{"issue":"2","key":"15_CR15","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Machine Learning\u00a024(2), 123\u2013140 (1996)","journal-title":"Machine Learning"},{"issue":"1","key":"15_CR16","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1214\/aoms\/1177729694","volume":"22","author":"S. Kullback","year":"1951","unstructured":"Kullback, S., Leibler, R.: On information and sufficiency. Annals of Mathematical Statistics\u00a022(1), 79\u201386 (1951)","journal-title":"Annals of Mathematical Statistics"},{"issue":"1","key":"15_CR17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A. Dempster","year":"1977","unstructured":"Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society. Series B (Methodological)\u00a039(1), 1\u201338 (1977)","journal-title":"Journal of the Royal Statistical Society. Series B (Methodological)"},{"key":"15_CR18","first-page":"529","volume-title":"(ICML 2005) Proceedings of the 22nd international conference on Machine Learning","author":"D. Lowd","year":"2005","unstructured":"Lowd, D., Domingos, P.: Naive bayes models for probability estimation. In (ICML 2005) Proceedings of the 22nd international conference on Machine Learning, pp. 529\u2013536. ACM Press, New York (2005)"},{"key":"15_CR19","volume-title":"Information Science and Statistics","author":"R. Rubinstein","year":"2004","unstructured":"Rubinstein, R., Kroese, D.: The Cross-Entropy Method. A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning. In: Information Science and Statistics. Springer, Heidelberg (2004)"},{"key":"15_CR20","unstructured":"Rosset, S., Segal, E.: Boosting density estimation. In: Proceedings of the 16th International Conference on Neural Information Processing Systems (NIPS), Vancouver, British Columbia, Canada, pp. 267\u2013281 (2002)"}],"container-title":["Lecture Notes in Computer Science","Symbolic and Quantitative Approaches to Reasoning with Uncertainty"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-02906-6_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,8]],"date-time":"2019-03-08T17:46:58Z","timestamp":1552067218000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-02906-6_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642029059","9783642029066"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-02906-6_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}