Approximate inference algorithms for two-layer Bayesian networks (2000) (Make Corrections) (1 citation) Andrew Y. Ng Computer Science Division UC Berkeley Berkeley, CA 94720... [cssmall.gif] Home/Search Context Related View or download: berkeley.edu/~ang/...ps99twolayerbn.ps Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies. PS.gz PS PDF Image Update Help From: berkeley.edu/~ang/ (more) (Enter author homepages) Rate this article: [r1.gif] [r2.gif] [r3.gif] [r4.gif] [r5.gif] (best) Comment on this article (Enter summary) Abstract: We present a class of approximate inference algorithms for graphical models of the QMR-DT type. We give convergence rates for these algorithms and for the Jaakkola and Jordan (1999) algorithm, and verify these theoretical predictions empirically. We also present empirical results on the difficult QMR-DT network problem, obtaining performance of the new algorithms roughly comparable to the Jaakkola and Jordan algorithm. 1 Introduction The graphical models formalism provides an appealing... (Update) Context of citations to this paper: More .... widely used as a benchmark for approximate inference algorithms [Shwe and Cooper, 1991, D Ambrosio, 1994, Murphy et al. 1999, Ng and Jordan, 2000] The set of observable nodes in the QMR DT are called ndings 1 and the unobservable nodes are diseases. When evaluating... Cited by: More Recognition Networks for Approximate Inference in BN2O Networks - Morris (2001) (Correct) Active bibliography (related documents): More All 0.7: Mean-field methods for a special class of Belief Networks - Bhattacharyya (2001) (Correct) 0.2: Tutorial on Variational Approximation Methods - Jaakkola (2000) (Correct) 0.1: Inference in Multilayer Networks via Large Deviation Bounds - Michael Kearns And (1999) (Correct) Similar documents based on text: More All 0.4: Probabilistic Diagnosis Using a Reformulation of.. - Middleton, Shwe.. (1990) (Correct) 0.2: of Machine Learning - Michael Kearns The (1994) (Correct) 0.1: Variational methods and the QMR-DT database - Jaakkola, Jordan (Correct) Related documents from co-citation: More All 2: Probabilistic diagnosis using a reformulation of the INTERNIST1 /QMR knowledge b.. - Shwe, Middleton et al. - 1991 BibTeX entry: (Update) Ng, A. Y. and Jordan, M. I. (2000). Approximate inference algorithms for two{ layer Bayesian networks. In Advances in Neural Information Processing Systems, volume 12. MIT Press. http://citeseer.ist.psu.edu/article/ng00approximate.html More @misc{ ng00approximate, author = "A. Ng and M. Jordan", title = "Approximate inference algorithms for two{ layer Bayesian networks", text = "Ng, A. Y. and Jordan, M. I. (2000). Approximate inference algorithms for two{ layer Bayesian networks. In Advances in Neural Information Processing Systems, volume 12. MIT Press.", year = "2000", url = "citeseer.ist.psu.edu/article/ng00approximate.html" } Citations (may not include all citations): 192 An introduction to variational methods for graphical models - Jordan, Ghahramani et al. - 1998 ACM DBLP 72 Loopy belief propagation for approximate inference: An empir.. - Murphy, Weiss et al. - 1999 DBLP 21 A tractable inference algorithm for diagnosing multiple dise.. (context) - Heckerman - 1989 ACM DBLP 19 Variational probabilistic inference and the QMR-DT network - Jaakkola, Jordan - 1999 DBLP 6 Large deviation methods for approximate probabilistic infere.. - Kearns, Saul - 1998 DBLP 6 Convergence condition of the TAP equation for the infinite-r.. (context) - Plefka - 1982 2 Variational cumulant expansions for intractable distribution.. - Barber, van de - 1999 DBLP Documents on the same site (http://www.cs.berkeley.edu/~ang/): More Approximate Planning in Large POMDPs via Reusable Trajectories - Kearns, Mansour, Ng (1999) (Correct) Applying Online Search Techniques to Reinforcement Learning - Scott Davies (1998) (Correct) An Experimental and Theoretical Comparison of Model.. - Kearns, Mansour, Ng, Ron (1995) (Correct) Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback CiteSeer.IST - Copyright Penn State and NEC