Tag bayesian_networks [127 articles] Export

Recent papers classified by the tag bayesian_networks.

	Review of “Probabilistic graphical models” by Koller and Friedman. [My Copy] Artificial Intelligence (26 November 2009) by Kevin Murphy posted to bayesian_networks by fheintz on 2009-12-06 10:20:36 as
	Learning cyclic signaling pathway structures while minimizing data requirements. [My Copy] Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (2009), pp. 63-74. by K. Sachs, S. Itani, J. Fitzgerald, et al.L. Wille, B. Schoeberl, M. A. Dahleh, G. P. Nolan posted to signaling_pathways regulatory_structures network_structure bayesian_networks by burak on 2009-11-25 06:14:07 as along with 1 person frohike
	MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 167-189. by Dana Pe'er, Amos Tanay, Aviv Regev posted to structure_learning regulatory_networks gene_expression_data bayesian_networks by roys on 2009-11-24 21:53:02 as
	Modeling and Reasoning with Bayesian Networks [My Copy] (06 April 2009) by Adnan Darwiche posted to reasoning network modeling bayesian_networks bayes by dokooh on 2009-11-16 16:27:33 as
	BROA: A Bayesian Robotic Agents Architecture [My Copy] MICAI 2008: Advances in Artificial Intelligence (2008), pp. 880-888. by Fidel Aznar, Mar Pujol, Ramón Rizo posted to bayesian_networks architecture by fheintz on 2009-11-16 07:49:31 as
	A Primer on Learning in Bayesian Networks for Computational Biology [My Copy] PLoS Comput Biol, Vol. 3, No. 8. (31 August 2007), e129. by Chris J. Needham, James R. Bradford, Andrew J. Bulpitt, David R. Westhead posted to readlater ml bayesian_networks by colm on 2009-11-03 12:58:08 as along with 18 people and 1 group Jporci abhishek_tiwari kshameer tonamswish Borelli toerst aviad_work druvus giovenko jo_davies balicea macle GeeSharpMinor firoozye sobolevnrm bmaust kmdaily schelhorn baker-group
	Context-aware middleware architecture for vertical handover support to multi-homed nomadic mobile services [My Copy] In SAC '08: Proceedings of the 2008 ACM symposium on Applied computing (2008), pp. 481-488. by Pravin Pawar, Katarzyna Wac, Bert J. van Beijnum, Pierre Maret, Aart van Halteren, Hermie Hermens posted to handover bayesian_networks by bazza030 on 2009-10-19 08:51:44 as along with 1 person jomarba
	Inference in Bayesian networks [My Copy] Nat Biotech, Vol. 24, No. 1. (01 January 2006), pp. 51-53. by Chris J. Needham, James R. Bradford, Andrew J. Bulpitt, David R. Westhead posted to bayesian_networks by jxl on 2009-10-02 17:21:04 as along with 13 people and 3 groups abhishek_tiwari richardbickerton Yanno jrw garyfeng okarsligil Borelli ddahlem lujiec kozlak jo_davies quianominorleo Pragmatist ReadingLab Bioinformatics ThinkBridge
	When in Doubt ... Be Indecisive [My Copy] Symbolic and Quantitative Approaches to Reasoning with Uncertainty In Symbolic and Quantitative Approaches to Reasoning with Uncertainty (2009), pp. 518-529. by Linda van der Gaag, Silja Renooij, Wilma Steeneveld, Henk Hogeveen posted to bayesian_networks by FMZ on 2009-10-01 13:15:01 as along with 1 person jjrodriguez
	Understanding belief propagation and its generalizations [My Copy] (2002), pp. 239-269. by Jonathan S. Yedidia, William T. Freeman, Yair Weiss posted to reasoning_under_uncertainty probabilistic_reasoning belief_propagation bayesian_networks by FMZ on 2009-10-01 13:12:26 as along with 12 people wasteland93 Quixote robotact markusd bhaddow dowlingj rsantana ElQuijote42 zeppe lcigler mmcgloho matjes
	A differential approach to inference in Bayesian networks [My Copy] J. ACM, Vol. 50, No. 3. (May 2003), pp. 280-305. by Adnan Darwiche posted to reasoning_under_uncertainty probabilistic_reasoning bayesian_networks by FMZ on 2009-10-01 13:11:39 as along with 2 people robotact arthur
	Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Representation and Reasoning) [My Copy] by Judea Pearl posted to reasoning_under_uncertainty probabilistic_reasoning bayesian_networks by FMZ on 2009-10-01 13:08:25 as along with 2 people Hans45 czeller
	OntoBayes: An Ontology-Driven Uncertainty Model [My Copy] Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on In Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on, Vol. 1 (2005), pp. 457-463. by Yi Yang, J. Calmet posted to owl ontobayes bayesian_networks by FMZ on 2009-10-01 13:02:22 as
	Privacy-preserving Bayesian network structure computation on distributed heterogeneous data [My Copy] In KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (2004), pp. 713-718. by Rebecca Wright, Zhiqiang Yang posted to privacy machine_learning data_mining_algorithms bayesian_networks by installe on 2009-09-14 13:43:48 as
	Parallel Learning of Belief Networks in Large and Difficult Domains [My Copy] In Paris (Department of Signal and Image Processing). She graduated from Ecole des Mines de Paris in 1986, received Ph.D from ENST Paris in 1990 and the Habilitation a Diriger des Recherches from University Paris 5 in, Vol. 3 (1999), pp. 315-339. by Yang Xiang, Y. Xiang, Y. Xiang, Y. Xiang, T. Chu, T. Chu posted to parallel machine_learning bayesian_networks algorithms by installe on 2009-08-28 11:23:53 as
	Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data [My Copy] J. Mach. Learn. Res., Vol. 10 (2009), pp. 159-162. by Abhik Shah, Peter Woolf posted to parallel open_source machine_learning distributed bayesian_networks by installe on 2009-08-28 09:03:44 as
	A Novel Bayes Model: Hidden Naive Bayes [My Copy] Knowledge and Data Engineering, IEEE Transactions on In Knowledge and Data Engineering, IEEE Transactions on, Vol. 21, No. 10. (22 December 2008), pp. 1361-1371. by Liangxiao Jiang, H. Zhang, Zhihua Cai posted to naive_bayes bayesian_networks by jjrodriguez on 2009-08-25 14:45:17 as along with 1 person MRCBIRD
	A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables [My Copy] In In UAI, Vol. 15 (1999), pp. 457-466. by Kevin P. Murphy posted to hybrid bayesian_networks by installe on 2009-08-25 13:46:56 as
	Bayesian Network Models with Discrete and Continuous Variables [My Copy] Advances in Probabilistic Graphical Models (2007), pp. 81-102. by Barry Cobb, Rafael Rumí, Antonio Salmerón posted to hybrid bayesian_networks by installe on 2009-08-25 09:45:41 as
	Predicting Cell Cycle Regulated Genes by Causal Interactions [My Copy] PLoS ONE, Vol. 4, No. 8. (18 August 2009), e6633. by Frank Emmert-Streib, Matthias Dehmer posted to genomic_expression cell_cycle bayesian_networks by installe on 2009-08-19 09:35:59 as along with 1 person rdiaz
	A Parallel Algorithm for Learning Bayesian Networks [My Copy] Advances in Knowledge Discovery and Data Mining (2007), pp. 1055-1063. by Kui Yu, Hao Wang, Xindong Wu posted to performance parallel machine_learning data_mining bayesian_networks by installe on 2009-08-18 10:20:35 as
	Bayesian regression with input noise for high dimensional data [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 937-944. by Jo A. Ting, Aaron D'Souza, Stefan Schaal posted to machine_learning input_noise bayesian_networks by installe on 2009-08-14 16:14:39 as along with 1 person sithmein
	Learning Mixtures of DAG Models [My Copy] In In Proc. of the Conf. on Uncertainty in AI (1997), pp. 504-513. by Bo Thiesson, Christopher Meek, David Chickering, David M. Chickering, David Heckerman posted to bayesian_networks mixture_model by roys on 2009-08-11 07:14:37 as
	Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 241. by Kevin Yip, Philip Kim, Drew McDermott, Mark Gerstein posted to svm multiple_training_sets multi_level machine_learning bayesian_networks by installe on 2009-08-06 12:52:25 as along with 8 people and 1 group flbarroso zwang jago gwallau barriot kshameer peteruetz phoenixzxl Simulation of operations and interactions
	A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease [My Copy] Advances in Neural Networks – ISNN 2007 (2007), pp. 1274-1279. by Jianxin Chen, Yanwei Xing, Guangcheng Xi, et al.Jing Chen, Jianqiang Yi, Dongbin Zhao, Jie Wang posted to svm neural_network machine_learning comparison bayesian_networks by installe on 2009-08-06 11:19:51 as
	Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks [My Copy] Bioinformatics, Vol. 22, No. 14. (15 July 2006), pp. e184-190. by Olivier Gevaert, Frank D. Smet, Dirk Timmerman, Yves Moreau, Bart D. Moor posted to multiple_training_sets microarray integration_framework clinical_data cancer breast_cancer bayesian_networks by installe on 2009-07-29 16:18:10 as along with 7 people phoenixzxl jfr wnpx frohike welchr macavity1g srp33
	Granger causality vs. dynamic Bayesian network inference: a comparative study [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 122. by Cunlu Zou, Jianfeng Feng posted to bayesian_networks causality by roys on 2009-07-14 02:50:15 as along with 5 people phoenixzxl rdiaz Borelli TRHvidsten zwang
	Providing probability distributions for the causal pathogen of clinical mastitis using naive Bayesian networks [My Copy] J. Dairy Sci., Vol. 92, No. 6. (1 June 2009), pp. 2598-2609. by W. Steeneveld, L. C. van der Gaag, H. W. Barkema, H. Hogeveen posted to bayesian_networks invref naive_bayes by jjrodriguez on 2009-06-17 15:15:36 as
	Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery [My Copy] In Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, METMBS '03, June 23 - 26, 2003, Las Vegas, Nevada, USA (2003), pp. 371-376. by Constantin F. Aliferis, Ioannis Tsamardinos, Alexander R. Statnikov, Laura E. Brown edited by Faramarz Valafar, Homayoun Valafar, Faramarz Valafar, Homayoun Valafar posted to bayesian_networks causality software structure_learning by roys on 2009-05-26 22:52:13 as along with 1 person naegele
	Learning a prior on regulatory potential from eQTL data. [My Copy] PLoS genetics, Vol. 5, No. 1. (30 January 2009), e1000358. by Su-In I. Lee, Aimée M. Dudley, David Drubin, et al.Pamela A. Silver, Nevan J. Krogan, Dana Pe'er, Daphne Koller posted to bayesian_networks eqtl human yeast by roys on 2009-05-20 02:44:34 as along with 8 people frohike ajbattle mingzhi systemsbiology sameersoi guhjy djkt lp2
	Integrating genetic and gene expression data: application to cardiovascular and metabolic traits in mice. [My Copy] Mammalian genome : official journal of the International Mammalian Genome Society, Vol. 17, No. 6. (June 2006), pp. 466-479. by Thomas A. Drake, Eric E. Schadt, Aldons J. Lusis posted to bayesian_networks data_integration eqtl by roys on 2009-05-20 00:48:35 as along with 4 people guhjy koller jo_davies srp33
	Modeling dependencies in protein-DNA binding sites [My Copy] In RECOMB '03: Proceedings of the seventh annual international conference on Research in computational molecular biology (2003), pp. 28-37. by Yoseph Barash, Gal Elidan, Nir Friedman, Tommy Kaplan posted to bayesian_networks mixture_model pwm tfbs transcription transcription_regulation by siebert on 2009-05-14 14:45:39 as along with 1 person dquest
	Boosted Bayesian network classifiers [My Copy] Machine Learning, Vol. 73, No. 2. (1 November 2008), pp. 155-184. by Yushi Jing, Vladimir Pavlović, James Rehg posted to bayesian_networks boosting by jjrodriguez on 2009-05-02 11:46:52 as
	Discovery of biological networks from diverse functional genomic data. [My Copy] Genome Biol, Vol. 6, No. 13. (2005) by C. L. Myers, D. Robson, A. Wible, et al.M. A. Hibbs, C. Chiriac, C. L. Theesfeld, K. Dolinski, O. G. Troyanskaya posted to bayesian_networks biological_networks data_integration functional_networks yeast by roys on 2009-04-23 05:02:15 as along with 5 people dragonrez cswinburne grahamc carlk AbnerCYH
	A genomewide functional network for the laboratory mouse. [My Copy] PLoS computational biology, Vol. 4, No. 9. (2008), e1000165. by Y. Guan, C. L. Myers, R. Lu, I. R. Lemischka, C. J. Bult, O. G. Troyanskaya posted to bayesian_networks biological_networks data_integration functional_networks gene_expression_nw mouse by roys on 2009-04-23 04:59:14 as along with 9 people dansullivanblk biomcgary cswinburne zwang pengchy ptrobajo guhjy grahamc tmmurali
	Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data [My Copy] Science, Vol. 308, No. 5721. (22 April 2005), pp. 523-529. by Karen Sachs, Omar Perez, Dana Pe'er, Douglas A. Lauffenburger, Garry P. Nolan posted to bayesian_networks causality signaling_nw by roys on 2009-03-31 03:34:48 as along with 23 people and 1 group pkm phoenixzxl sameersoi abhishek_tiwari poirel frohike aviad_work czeller emptyhb kentsis kaarsinogen balajis rand_bayes ryang wnpx os252 j3xucite noano koller jhatrimatri cdppublications lp2 saman_vp CDP
	On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs [My Copy] Information Theory, IEEE Transactions on In Information Theory, IEEE Transactions on, Vol. 47, No. 2. (2001), pp. 736-744. by Y. Weiss, W. T. Freeman posted to bayesian_networks belief_propagation by robotact on 2009-02-27 19:41:00 as along with 1 person daniel51
	Belief networks, hidden Markov models, and Markov random fields: a unifying view [My Copy] Pattern Recogn. Lett., Vol. 18, No. 11-13. (1997), pp. 1261-1268. by Padhraic Smyth posted to 22 bayesian_networks markov_models review by robotact on 2009-02-04 19:07:38 as along with 1 person FMZ
	Probabilistic independence networks for hidden Markov probability models [My Copy] Neural Comput., Vol. 9, No. 2. (1997), pp. 227-269. by Padhraic Smyth, David Heckerman, Michael I. Jordan posted to bayesian_networks markov_models by robotact on 2009-02-03 19:32:28 as
	Bayesian Network Classifiers [My Copy] Mach. Learn., Vol. 29, No. 2-3. (1997), pp. 131-163. by Nir Friedman, Dan Geiger, Moises Goldszmidt posted to bayesian_networks classifiers naive_bayes seminal by robotact on 2009-01-31 19:26:22 as along with 2 people yeminjiao operon
	Complex Probabilistic Modeling with Recursive Relational Bayesian Networks [My Copy] Annals of Mathematics and Artificial Intelligence, Vol. 32, No. 1-4. (2001), pp. 179-220. by Manfred Jaeger posted to bayesian_networks probabilistic_databases relational_data by robotact on 2009-01-30 18:12:35 as
	Constructing free-energy approximations and generalized belief propagation algorithms [My Copy] Information Theory, IEEE Transactions on In Information Theory, IEEE Transactions on, Vol. 51, No. 7. (2005), pp. 2282-2312. by J. S. Yedidia, W. T. Freeman, Y. Weiss posted to 22 bayesian_networks belief_propagation kikuchi_approximation by robotact on 2009-01-30 00:27:09 as along with 12 people __andy__ sfuniak A_Olympia apaydin pcarbo rsantana flavian_vasile iris_2001 john_ardelius hannu daniel51 XIANG
	Bayesian logic programs [My Copy] In Proceedings of the Work-in-Progress Track at the 10th International Conference on Inductive Logic Programming (2000), pp. 138-155. by Kristian Kersting, Luc De Raedt posted to bayesian_networks bayesian_programs by robotact on 2009-01-29 19:03:52 as
	Bucket elimination: a unifying framework for reasoning [My Copy] Artif. Intell., Vol. 113, No. 1-2. (1999), pp. 41-85. by Rina Dechter posted to bayesian_networks bucket_elimination by robotact on 2009-01-29 18:22:39 as
	Learning Probabilistic Relational Models [My Copy] In IJCAI '99: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (1999), pp. 1300-1309. by Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer posted to bayesian_networks probabilistic_databases relational_data by robotact on 2009-01-29 18:17:25 as
	Dynamic Bayesian Networks: Representation, Inference and Learning [My Copy] (2002) by Kevin P. Murphy posted to bayesian_networks sequence_models by robotact on 2009-01-29 17:42:56 as along with 2 people rodri Maderlock
	Tutorial on variational approximation methods [My Copy] In Advanced mean field methods: theory and practice. (2000) by T. Jaakkola edited by M. Opper, D. Saad posted to 333 bayesian_networks mean_field variational_methods by robotact on 2009-01-29 17:07:08 as along with 1 person markusd
	Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks [My Copy] Nature genetics, Vol. 40, No. 7. (15 July 2008), pp. 854-861. by Jun Zhu, Bin Zhang, Erin N. N. Smith, et al.Becky Drees, Rachel B. B. Brem, Leonid Kruglyak, Roger E. E. Bumgarner, Eric E. E. Schadt posted to bayesian_networks eqtl expression protein_protein_interaction regulatory_networks s_cerevisiae transcription_factors by siebert on 2009-01-28 08:44:28 as along with 19 people and 1 group JoeBanks arider1 megraw TRHvidsten ggallone jo_davies suteedee burak realzhang kengg maralena ptrobajo tmmurali guhjy roys marck caseybrown djkt srp33 Jarman Lab
	Learning Bayesian networks with local structure [My Copy] (1999), pp. 421-459. by Nir Friedman, Moises Goldszmidt posted to bayesian_networks learning_networks by robotact on 2009-01-10 20:00:07 as along with 3 people yaroslavvb eustatic wnpx
	Inference and learning in hybrid bayesian networks [My Copy] (1998) by Kevin P. Murphy posted to bayesian_networks by roys on 2009-01-03 01:02:21 as

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machine_learning	14
object_oriented	8
biological_networks	7
network_inference	7
causality	6
structure_learning	6
bayesian	5
belief_propagation	4
context_specific_indep	4
data_integration	4
gene_expression_nw	4
graphical_models	4
microarray	4
multinet	4
naive_bayes	4
score_function	4
22	3
active_learning	3
causation	3
constraint-based_learning	3
eqtl	3
interventions	3
parallel	3
probabilistic_reasoning	3
reasoning_under_uncertainty	3
regulatory_networks	3
score_based_learning	3
yeast	3
bde	2
dbn	2
expression	2
functional_networks	2
hidden_vars	2
hybrid	2
invref	2
kikuchi_approximation	2
markov_models	2
mdl	2
mean_field	2
mixture_model	2
multiple_training_sets	2
network_reconstruction	2
obs	2
off-line_signature_verification	2
pathway_analysis	2
prior_knowledge	2
prm	2
probabilistic_databases	2
protein_signaling	2
relational_data	2
s_cerevisiae	2
signaling_nw	2
similarity_nw	2
sparse_candidate	2
statistical_relational_models	2
structural_em	2
svm	2
textbooks	2
tutorial	2
algorithms	1
architecture	1
boosting	1
clustering	1
comparison	1
data_aggregation	1
data_mining	1
data_simulation	1
decision_theory	1
discretization	1
dynamic_bn	1
exp_data	1
fetch	1
gene_expression_data	1
genetic_algorithms	1
genomic_expression	1
graphical_gaussian	1
human	1
intel_design	1
introduction	1
markov_random_fields	1
mdags	1
mdds	1
microarray_analysis	1
multi_level	1
multinets	1
neural_network	1
ontobayes	1
open_source	1
privacy	1
protein_protein_interaction	1
readme	1
regulatory_structures	1
scalable_nw_learning	1
signaling_pathways	1
software	1
tfnets	1
tfprograms	1
transcription	1
transcription_factors	1
undirected_graphical_models	1

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