Tag dbn [69 articles] Export

Recent papers classified by the tag dbn.

	Modeling human motion using binary latent variables [My Copy] In Advances in Neural Information Processing Systems, Vol. 19 (2006) by Graham W. Taylor, Geoffrey E. Hinton, Sam Roweis posted to temporal neuralnet dbn by asterix77 on 2009-10-06 21:15:30 as
	A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data. [My Copy] Bioinformatics, Vol. 21, No. 1. (1 January 2005), pp. 71-79. by M. Zou, S. D. Conzen posted to yeast time-course regulatory network microarray expression dynamic dbn bayesian by arider1 on 2009-08-27 17:13:33 as along with 1 person wnpx
	Learning the structure of dynamic probabilistic networks [My Copy] (1998), pp. 139-147. by Nir Friedman, Kevin Murphy, Stuart Russell posted to dbn structure-learning by shaunakc on 2009-07-07 02:29:20 as
	Restricted Boltzmann machines for collaborative filtering [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 791-798. by Ruslan Salakhutdinov, Andriy Mnih, Geoffrey Hinton posted to dbn rbm by austincarp on 2009-06-01 15:05:22 as along with 15 people and 1 group panisson clickstone nliu82 maximzhao imrchen dtsamis ChenxingYang bmichel zhanwei zheaton creswick lfriedl dwf danejensen Tobu Resys
	Exploring Strategies for Training Deep Neural Networks [My Copy] Journal of Machine Learning Research, Vol. 10 (January 2009), pp. 1-40. by Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin posted to dbn rbm by austincarp on 2009-05-28 23:09:25 as
	Representational power of restricted boltzmann machines and deep belief networks. [My Copy] Neural computation, Vol. 20, No. 6. (June 2008), pp. 1631-1649. by N. Le Roux, Y. Bengio posted to dbn rbm by austincarp on 2009-05-28 00:24:20 as along with 1 person sen_cheng
	Continuous restricted Boltzmann machine with an implementable training algorithm [My Copy] Vision, Image and Signal Processing, IEE Proceedings - In Vision, Image and Signal Processing, IEE Proceedings -, Vol. 150, No. 3. (2003), pp. 153-158. by H. Chen, A. F. Murray posted to continuous dbn rbm by austincarp on 2009-05-26 23:22:01 as along with 1 person zhanwei
	Greedy layer-wise training of deep networks [My Copy] In In NIPS (2007) by Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle, Université De Montréal, Montréal Québec posted to continuous dbn mnist rbm by austincarp on 2009-05-26 23:20:26 as along with 1 person __andy__
	To recognize shapes, first learn to generate images. [My Copy] Progress in brain research, Vol. 165 (2007), pp. 535-547. by G. E. Hinton posted to dbn mnist rbm by austincarp on 2009-05-04 00:11:41 as
	Classification using discriminative restricted Boltzmann machines [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 536-543. by Hugo Larochelle, Yoshua Bengio posted to dbn mnist rbm by austincarp on 2009-05-01 20:29:37 as along with 1 person bmichel
	Training products of experts by minimizing contrastive divergence [My Copy] Neural Comput., Vol. 14, No. 8. (2002), pp. 1771-1800. by Geoffrey E. Hinton posted to cd dbn rbm by austincarp on 2009-04-30 21:05:02 as
	Reducing the Dimensionality of Data with Neural Networks [My Copy] Science, Vol. 313, No. 5786. (28 July 2006), pp. 504-507. by G. E. Hinton, R. R. Salakhutdinov posted to dbn mnist rbm by austincarp on 2009-04-30 21:02:14 as along with 26 people and 9 groups dakelley mthomure pascanur jdoconnell __andy__ euclid babakap zheaton brian pdlug ana barry garyfeng mrkrause yama_tah neilh sdvillal dwf jwdietrich rgb mp4man josepe marcusfrean robincha ygarb ancechu structural_bioinformatics ReadingLab MathBio Bioinformatics Cybernetics pileWorks S-Lab Biomedical_Cybernetics AQUA-FONTIS-Study
	A fast learning algorithm for deep belief nets [My Copy] Neural Comput., Vol. 18, No. 7. (July 2006), pp. 1527-1554. by Geoffrey E. Hinton, Simon Osindero, Yee-Whye Teh posted to dbn mnist rbm by austincarp on 2009-04-30 20:59:14 as along with 4 people apcoates zheaton creswick robotact
	Towards an Integrated Approach for Task Modeling and Human Behavior Recognition [My Copy] Human-Computer Interaction. Interaction Design and Usability (2007), pp. 1109-1118. by Martin Giersich, Peter Forbrig, Georg Fuchs, Thomas Kirste, Daniel Reichart, Heidrun Schumann posted to activity agendas ctt dbn recognition by hawkes on 2009-04-17 00:06:50 as
	Recognizing Interaction Activities using Dynamic Bayesian Network [My Copy] Pattern Recognition, International Conference on In Proceedins of the International Conference on Pattern Recognition, Vol. 1 (2006), pp. 618-621. by Youtian Du, Feng Chen, Wenli Xu, Yongbin Li posted to action dbn by db344 on 2009-04-10 14:19:19 as
	Generalization of a Vision-Based Computational Model of Mind-Reading [My Copy] Affective Computing and Intelligent Interaction In ACII'05: Proceedings of the First International Conference on Affective Computing and Intelligent Interaction (2005), pp. 582-589. by Rana Kaliouby, Peter Robinson posted to dbn emotion face hmm by db344 on 2009-04-02 15:15:11 as along with 1 person ninadel
	Switching state-space models [My Copy] Vol. 6 (1996) by Zoubin Ghahramani, Geoffrey E. Hinton posted to dbn ssm by gchan02 on 2009-02-11 13:44:51 as
	Learning dynamic Bayesian networks [My Copy] In Adaptive Processing of Sequences and Data Structures, Vol. 1387 (1998), pp. 168-197. by Zoubin Ghahramani posted to dbn tutorial by gchan02 on 2009-02-11 13:40:40 as along with 1 person danielkcook
	Learning the structure of dynamic Bayesian networks from time series and steady state measurements [My Copy] Machine Learning, Vol. 71, No. 2. (26 June 2008), pp. 185-217. by Harri Lähdesmäki, Ilya Shmulevich posted to dbn fusion by gchan02 on 2009-02-11 10:48:45 as along with 3 people danielkcook verdicchio jjrodriguez
	Hierarchical hidden markov models with general state hierarchy [My Copy] In In AAAI 2004 (2004), pp. 324-329. by Hung H. Bui posted to dbn hhmm hmm by espriggs on 2009-02-02 19:31:02 as
	The power of amnesia: learning probabilistic automata with variable memory length [My Copy] In Machine Learning, Vol. 25 (1996), pp. 117-149. by Dana Ron, Yoram Singer posted to automata dbn hmm by espriggs on 2009-02-02 19:29:34 as
	The hierarchical hidden markov model: Analysis and applications [My Copy] In Machine Learning, Vol. 32 (1998), pp. 41-62. by Shai Fine posted to dbn hhmm hmm by espriggs on 2009-02-02 19:27:54 as
	Linear Time Inference in Hierarchical HMMs [My Copy] In In Proceedings of Neural Information Processing Systems (2001) by Kevin M. And, Kevin P. Murphy, Mark A. Paskin posted to dbn hhmm hmm by espriggs on 2009-02-02 19:24:57 as
	Advances to Bayesian network inference for generating causal networks from observational biological data [My Copy] Bioinformatics, Vol. 20, No. 18. (12 December 2004), pp. 3594-3603. by Jing Yu, Anne V. Smith, Paul P. Wang, Alexander J. Hartemink posted to bayesian_network dbn by Borelli on 2009-01-28 16:14:27 as along with 5 people arsyed Neeperando ggallone heliopais roys
	Fast Bayes and the dynamic junction forest [My Copy] Artificial Intelligence, Vol. 107, No. 1. (January 1999), pp. 99-124. by J. Smith posted to bn dbn junction_tree by espriggs on 2008-12-04 21:03:47 as
	Dynamic bayesian networks : representation, inference and learning [My Copy] (2002) by Kevin P. Murphy posted to dbn dynamic-bayesian-networks by verdicchio on 2008-11-19 17:50:14 as
	Modelling gene expression data using dynamic bayesian networks [My Copy] (1999) by Kevin Murphy, Saira Mian posted to dbn dynamic-bayesian-networks gene-regulatory-network grn by verdicchio on 2008-11-19 17:48:08 as along with 1 person czeller
	Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks [My Copy] Signal Processing, Vol. 86, No. 4. (April 2006), pp. 814-834. by H. Lahdesmaki, S. Hautaniemi, I. Shmulevich, O. Yliharja posted to boolean-networks dbn dynamic-bayesian-networks gene-regulatory-network grn pbn probabilistic-boolean-networks by verdicchio on 2008-11-19 17:46:18 as
	Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification [My Copy] by Brian D. Ziebart posted to dbn discrete inference learning by espriggs on 2008-11-06 21:38:17 as
	Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks [My Copy] In UAI '00: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence (2000), pp. 176-183. by Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell posted to dbn particle-filter rao-blackwellized by sense on 2008-11-05 15:29:38 as along with 1 person ldietz
	A DBN inference algorithm using junction tree [My Copy] Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on In Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on, Vol. 5 (2004), pp. 4236-4240 Vol.5. by Fengzhan Tian, Yuchang Lu posted to analytical-methods bayesian dbn by Maderlock on 2008-11-04 16:40:41 as along with 1 person wasteland93
	The Factored Frontier Algorithm for Approximate Inference in DBNs [My Copy] In Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (2001), pp. 378-385. by Kevin Murphy, Yair Weiss posted to approximate-methods bayesian dbn by Maderlock on 2008-11-04 15:39:02 as along with 1 person wnpx
	An empirical evaluation of deep architectures on problems with many factors of variation [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 473-480. by Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra, Yoshua Bengio posted to dbn machinelearning representation by asterix77 on 2008-11-01 22:17:57 as
	Learning the structure of dynamic probabilistic networks [My Copy] (1998), pp. 139-147. by Nir Friedman, Kevin Murphy, Stuart Russell posted to dbn em hmm learning missing_values by espriggs on 2008-11-01 21:36:13 as
	Extracting and composing robust features with denoising autoencoders [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 1096-1103. by Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre A. Manzagol posted to representation neuralnet machinelearning dbn by asterix77 on 2008-11-01 19:36:58 as along with 1 person abergeron
	Turbo decoding as an instance of Pearl’s “belief propagation” algorithm [My Copy] IEEE Journal on Selected Areas in Communications (1998), pp. 140-152. by Robert J. Mceliece, David J. C. Mackay, Jung-fu Cheng posted to approximate-methods bayesian dbn by Maderlock on 2008-10-31 14:05:11 as
	The Factored Frontier Algorithm for Approximate Inference in DBNs [My Copy] In In UAI (2001), pp. 378-385. by Kevin Murphy, Yair Weiss posted to dbn inference by espriggs on 2008-10-30 15:20:29 as along with 1 person wasteland93
	Approximate learning of dynamic models [My Copy] In In NIPS-11 (1998), pp. 396-402. by Xavier Boyen, Daphne Koller posted to approximate-methods bayesian dbn probabilistic stochastic-process temporal by Maderlock on 2008-09-26 12:39:27 as
	A Fast Learning Algorithm for Deep Belief Nets [My Copy] Neural Comp., Vol. 18, No. 7. (1 July 2006), pp. 1527-1554. by Geoffrey E. Hinton, Simon Osindero, Yee-Whye Teh posted to dbn by Dukhat on 2008-08-18 04:55:09 as along with 11 people and 1 group bcao forefinger __andy__ zheaton garyfeng Borelli haidai dwf markcrowley marcusfrean whym ReadingLab
	Multirate Coupled Hidden Markov Models and Their Application to Machining Tool-Wear Classification [My Copy] Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] In Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 55, No. 6. (2007), pp. 2885-2896. by O. Cetin, M. Ostendorf, G. D. Bernard posted to dbn multi-rate by louist1013 on 2008-03-04 20:06:24 as
	Multi-Rate and Variable-Rate Modeling of Speech At Phone and Syllable Time Scales [My Copy] Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on In Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on, Vol. 1 (2005), pp. 665-668. by O. Cetin, M. Ostendorf posted to dbn multi-rate by louist1013 on 2008-03-04 20:05:15 as
	Learning class-discriminative dynamic Bayesian networks [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 97-104. by John Burge, Terran Lane posted to bayesian_networks context_specific_indep dbn multinet by roys on 2007-11-06 20:57:35 as along with 1 person chihchun_chen
	Dynamic Bayesian Multinets [My Copy] In UAI '00: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence (2000), pp. 38-45. by Jeff Bilmes posted to bayesian_networks context_specific_indep dbn multinet by roys on 2007-11-06 20:56:32 as
	A hierarchical Bayesian network for event recognition of human actions and interactions [My Copy] Multimedia Systems, Vol. 10, No. 2. (August 2004), pp. 164-179. by Park, Sangho, Aggarwal, J. posted to action bayes dbn event human interaction recognition by e_sommerlade on 2007-08-27 22:33:57 as
	Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks [My Copy] pp. 176-183. by Arnaud Doucet, Narido de Freitas, Kevin Murphy, Stuart Russell posted to dbn graphicalmodel mcmc raoblackwell by casutton on 2007-08-22 00:42:07 as along with 1 person Maderlock
	Incremental thin junction trees for dynamic bayesian networks [My Copy] (2004) by F. Hutter, B. Ng, R. Dearden posted to inference filter dbn bayesian by hawkes to the group MuSAMA on 2007-07-09 23:03:49 as
	Probabilistic plan recognition in multiagent systems [My Copy] (2004) by S. Saria, S. Mahadevan posted to dbn hmm plan recognition team by hawkes on 2007-06-20 10:38:54 as along with 1 person and 1 group pthimon MuSAMA
	A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking [My Copy] IEEE Transactions on Signal Processing, Vol. 50, No. 2. (February 2002), pp. 174-188. by S. Arulampalam, S. Maskell, N. Gordon, T. Clapp posted to dbn filter hmm models particle tracking by hawkes on 2007-05-04 14:26:56 as along with 5 people and 1 group sergiodlc avaziri1 mamadoudiao pliz kohei-h MuSAMA
	Structured variational distributions in VIBES [My Copy] (2003) by C. Bishop, J. Winn posted to vibes hmm dbn bayesian by hawkes to the group MuSAMA on 2007-05-03 14:22:04 as
	An introduction to graphical models [My Copy] (2001) by K. Murphy posted to bnt dbn graphical inference models by hawkes on 2007-05-02 08:32:46 as along with 2 people and 1 group gabgas bhaddow MuSAMA

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