pliz's library 104 articles Export

	Evidence of a cerebrovascular postarteriole windkessel with delayed compliance. [My Copy] J Cereb Blood Flow Metab, Vol. 19, No. 6. (June 1999), pp. 679-689. by J. B. Mandeville, J. J. Marota, C. Ayata, et al.G. Zaharchuk, M. A. Moskowitz, B. R. Rosen, R. M. Weisskoff posted to hemodynamic by pliz on 2008-09-06 00:03:53 as along with 3 people and 1 group tingying eugeneduff schulz Autoregulation
	LS-NMF: a modified non-negative matrix factorization algorithm utilizing uncertainty estimates. [My Copy] BMC Bioinformatics, Vol. 7 (2006) by G. Wang, A. V. Kossenkov, M. F. Ochs posted to nmf by pliz on 2008-08-05 19:02:05 as along with 3 people dragonrez jfr aviad_work
	Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values [My Copy] Environmetrics, Vol. 5, No. 2. (1994), pp. 111-126. by Pentti Paatero, Unto Tapper posted to nmf by pliz on 2008-07-09 18:40:04 as along with 3 people tmmurali dragonrez phlow
	Support vector machine classification and validation of cancer tissue samples using microarray expression data [My Copy] Bioinformatics, Vol. 16, No. 10. (1 October 2000), pp. 906-914. by Terrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michel Schummer, David Haussler posted to svm by pliz on 2008-07-08 17:45:01 as along with 6 people barmak7282 stharward petrposik ggrot tvjagan srp33
	Support vector machine classification of microarray data [My Copy] (1999) by S. Mukherjee, P. Tamayo, D. Slonim, et al.A. Verri, T. Golub, J. Mesirov, T. Poggio posted to svm by pliz on 2008-07-08 17:41:07 as along with 1 person srp33
	A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signals. [My Copy] Neuroimage, Vol. 21, No. 2. (February 2004), pp. 547-567. by J. J. Riera, J. Watanabe, I. Kazuki, et al.M. Naoki, E. Aubert, T. Ozaki, R. Kawashima posted to hemodynamic particle by pliz on 2008-06-24 02:24:42 as along with 2 people and 1 group librain alexr Autoregulation
	Nonlinear estimation of the BOLD signal [My Copy] NeuroImage, Vol. 40, No. 2. (1 April 2008), pp. 504-514. by Leigh A. Johnston, Eugene Duff, Iven Mareels, Gary F. Egan posted to particle by pliz on 2008-06-24 01:44:59 as along with 2 people kperdue adick
	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 particle by pliz on 2008-06-24 00:48:31 as along with 5 people and 1 group sergiodlc hawkes avaziri1 mamadoudiao kohei-h MuSAMA
	Monte Carlo Strategies in Scientific Computing [My Copy] (17 October 2002) by Jun S. Liu posted to mcmc particle by pliz on 2008-06-22 21:39:37 as along with 8 people and 2 groups fierykylin ppeeling mullonc rpadams mshafiei ctacmo firoozye Xavier Statistics_and_Social_Science Biostatistics
	Symmetrical event-related EEG/fMRI information fusion in a variational Bayesian framework [My Copy] NeuroImage, Vol. 36, No. 1. (15 May 2007), pp. 69-87. by Jean Daunizeau, Christophe Grova, Guillaume Marrelec, et al.Jérémie Mattout, Saad Jbabdi, Mélanie Pélégrini-Issac, Jean-Marc Lina, Habib Benali posted to bayesian eeg fmri by pliz on 2008-06-22 19:29:16 as along with 1 person kperdue
	Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC [My Copy] NeuroImage, Vol. 40, No. 4. (1 May 2008), pp. 1581-1594. by Sung C. Jun, John S. George, Woohan Kim, et al.Juliana Paré-Blagoev, Sergey Plis, Doug M. Ranken, David M. Schmidt posted to bayesian fmri mcmc by pliz on 2008-06-22 18:55:18 as along with 2 people and 1 group briordan suizan Functional_Imaging
	Approximating discrete probability distributions with dependence trees [My Copy] Information Theory, IEEE Transactions on, Vol. 14, No. 3. (1968), pp. 462-467. by C. Chow, C. Liu posted to bayesian machine-learning maximum-likelihood networks pattern-recognition structure by pliz on 2008-02-09 07:32:09 as along with 8 people and 1 group tessaverhoef pcarbo bpacker craigtalbert dwf chechetka roys tkollar vision-ng
	Learning relational probability trees [My Copy] In KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining (2003), pp. 625-630. by Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay posted to bayesian by pliz on 2008-02-08 19:31:24 as along with 3 people and 1 group jrw mhay Maderlock kdl
	Why collective inference improves relational classification [My Copy] (2004) by D. Jensen, J. Neville, B. Gallagher posted to bayesian bayesnets by pliz on 2008-02-08 19:08:49 as along with 5 people mmcgloho roys scis0000001 iris_2001 payne
	Dependency networks for inference, collaborative filtering, and data visualization [My Copy] J. Mach. Learn. Res., Vol. 1 (2001), pp. 49-75. by David Heckerman, David M. Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie posted to bayesian bayesiannets by pliz on 2008-02-08 19:05:57 as along with 5 people and 2 groups knowlengr bsowell ransombriggs rlai naegele MITCCI DarkMarkGroup
	Multiplicative updates for nonnegative quadratic programming in support vector machines [My Copy] In Advances in Neural Information Processing Systems 15 (2003) by Fei Sha, Lawrence K. Saul, Daniel D. Lee edited by Sebastian, Klaus Obermayer posted to nmf svm by pliz on 2008-01-30 05:44:03 as
	A General and Efficient Multiple Kernel Learning Algorithm [My Copy] In Advances in Neural Information Processing Systems 18 (2006), pp. 1273-1280. by Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer edited by Y. Weiss, B. Schölkopf, J. Platt posted to svm by pliz on 2008-01-30 05:38:07 as
	An introduction to kernel-based learning algorithms [My Copy] Neural Networks, IEEE Transactions on, Vol. 12, No. 2. (07 August 2002), pp. 181-201. by K. R. Muller, S. Mika, G. Ratsch, K. Tsuda, Bernhard Schölkopf posted to kernels machine-learning pattern-recognition by pliz on 2008-01-30 05:29:09 as along with 18 people e120265 esyoun awg2 ckai1 Fujisaki babakap gkvas eddymier vi_z grzegorz bayesian mthomure zoop atbrew kozaki teesid jccaicedo i-stevenson
	Semi-naive Bayesian classifier [My Copy] In EWSL-91: Proceedings of the European working session on learning on Machine learning (1991), pp. 206-219. by Igor Kononenko posted to bayesian bayesnets trees by pliz on 2008-01-28 09:06:38 as along with 2 people tmancill bamberg
	Learning sparse features for classification by mixture models [My Copy] Pattern Recognition Letters, Vol. 25, No. 2. (19 January 2004), pp. 155-161. by Weixiang Liu, Nanning Zheng posted to nmf by pliz on 2007-12-17 07:42:46 as along with 1 person yama_tah
	The max-min hill-climbing Bayesian network structure learning algorithm [My Copy] Machine Learning, Vol. 65, No. 1. (October 2006), pp. 31-78. by Ioannis Tsamardinos, Brown, Aliferis Constantin posted to bayesiannets structuresearch by pliz on 2007-12-17 07:36:15 as along with 2 people naegele dhein1030
	Subsystem identification through dimensionality reduction of large-scale gene expression data. [My Copy] Genome Res, Vol. 13, No. 7. (July 2003), pp. 1706-1718. by P. M. Kim, B. Tidor posted to nmf by pliz on 2007-12-17 07:31:59 as along with 3 people aviad_work jfr yama_tah
	Biclustering of gene expression data by non-smooth non-negative matrix factorization [My Copy] BMC Bioinformatics, Vol. 7, No. 1. (2006), 78. by Pedro C. Saez, Roberto P. Marqui, F. Tirado, Jose Carazo, Alberto P. Montano posted to clustering nmf by pliz on 2007-12-17 07:29:35 as along with 4 people vingron jfr dps aviad_work
	Learning Gaussian Networks [My Copy] No. MSR-TR-94-10. (1994) by Dan Geiger, David Heckerman posted to bayesnets graphical-models by pliz on 2007-12-12 21:32:00 as along with 2 people and 1 group bpacker dimatura vision-ng
	Advances in Neural Information Processing Systems 10, [NIPS Conference, Denver, Colorado, USA, 1997] [My Copy] In {NIPS} ({1998}) by Reimar Hofmann, Volker Tresp edited by Michael I. Jordan, Michael J. Kearns, Sara A. Solla posted to bayesiannets bibtex-import structuresearch by pliz on 2007-11-06 22:27:28 as
	UAI ’99 [My Copy] In {UAI: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30-August 1, 1999} ({1999}) by Volker Tresp, Michael Haft, Reimar Hofmann edited by Kathryn B. Laskey, Henri Prade posted to bayesiannets bibtex-import by pliz on 2007-11-06 22:27:28 as
	Lecture Notes in Computer Science [My Copy] In {ICANN (1)}, Vol. {4668} ({2007}) by Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter edited by Joaquim M. de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic posted to bayesiannets bibtex-import by pliz on 2007-11-06 22:27:28 as
	Learning the parts of objects by non-negative matrix factorization. [My Copy] Nature, Vol. 401, No. 6755. (21 October 1999), pp. 788-791. by D. D. Lee, H. S. Seung posted to nmf by pliz on 2007-10-19 17:36:49 as along with 18 people and 4 groups bcao bertelsen kohei-h ppeeling JacquesC davidr dragonrez anar jfr yas yama_tah scis0000001 oannes cerkut atbrew zeppe kintoki cager NU-PRL T_lab Regulomics_UCHSC contact-id
	Algorithms for Non-negative Matrix Factorization [My Copy] In NIPS (2000), pp. 556-562. by Daniel D. Lee, Sebastian H. Seung posted to nmf by pliz on 2007-10-19 17:32:50 as along with 16 people and 2 groups bcao sainsworth pprett ppeeling anar yas luispedro walkking aviad_work atbrew sugarexpletive phlow vsree007 dragonrez vlachmore cager T_lab Computer_Graphics
	A model of the hemodynamic response and oxygen delivery to brain. [My Copy] Neuroimage, Vol. 16, No. 3 Pt 1. (July 2002), pp. 617-637. by Y. Zheng, J. Martindale, D. Johnston, M. Jones, J. Berwick, J. Mayhew posted to fmri forward by pliz on 2007-10-19 02:32:18 as along with 2 people and 1 group alexr tingying Autoregulation
	Models of brain function in neuroimaging. [My Copy] Annual review of psychology, Vol. 56 (2005), pp. 57-87. by Karl J. Friston posted to forward hemodynamic by pliz on 2007-10-18 23:35:04 as along with 9 people and 4 groups viltrio jirak isami mbolding balicea jclau j_hsieh xinian bhamcnil Functional_Imaging Neuroscience ilyajune Foresight
	An Introduction to MCMC for Machine Learning [My Copy] Machine Learning, Vol. {50}, No. {1}. (January {2003}) by Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan posted to mcmc bibtex-import by pliz on 2007-10-18 07:01:34 as
	Sampling-50 years after Shannon [My Copy] Proceedings of the IEEE, Vol. {88}, No. {4}. ({2000}) by M. Unser posted to sampling bibtex-import by pliz on 2007-10-18 07:01:34 as
	An information-maximization approach to blind separation and blind deconvolution. [My Copy] Neural Comput, Vol. {7}, No. {6}. (November {1995}) by A. J. Bell, T. J. Sejnowski posted to coding cogsci compsci dim_reduction ica statistics bibtex-import by pliz on 2007-10-18 07:01:33 as
	The Bayesian Structural EM Algorithm [My Copy] In {UAI} by Nir Friedman posted to bayesian nets search structure bibtex-import by pliz on 2007-10-18 07:01:33 as
	MCMC model determination for discrete graphical models [My Copy] Statistical Modeling, Vol. {4}, No. {1}. ({2004}) by Claudia Tarantola posted to bayesian nets bibtex-import by pliz on 2007-10-18 07:01:33 as
	Factor graphs and the sum-product algorithm [My Copy] Information Theory, IEEE Transactions on, Vol. {47}, No. {2}. ({2001}) by F. R. Kschischang, B. J. Frey, H. A. Loeliger posted to belief-propagation graphical-models information-theory bibtex-import by pliz on 2007-10-18 07:01:33 as
	UAI [My Copy] ({2003}) edited by Christopher Meek, Uffe Kj\aerulff posted to bayesian nets bibtex-import by pliz on 2007-10-18 07:01:33 as
	UAI ’03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, August 7-10 2003, Acapulco, Mexico [My Copy] In {UAI} ({2003}) by Jeff A. Bilmes, Chris Bartels edited by Christopher Meek, Uffe Kj\aerulff posted to bayesian nets bibtex-import by pliz on 2007-10-18 07:01:33 as
	Estimation of linear, non-gaussian causal models in the presence of confounding latent variables [My Copy] ArXiv Computer Science e-prints (mar {2006}) by P. O. Hoyer, S. Shimizu, A. J. Kerminen posted to ica bibtex-import by pliz on 2007-10-18 07:01:19 as
	Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks [My Copy] (January {2003}) by N. Friedman, D. Koller posted to bayesian bayesnets learning structure bibtex-import by pliz on 2007-10-18 07:01:19 as
	Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks [My Copy] by Arnaud Doucet, Narido de Freitas, Kevin Murphy, Stuart Russell posted to dbn graphicalmodel mcmc raoblackwell bibtex-import by pliz on 2007-10-18 07:01:19 as
	Learning Bayesian Networks: The Combination of Knowledge and Statistical Data [My Copy] Machine Learning, Vol. {20}, No. {3}. (September {1995}) by D. Heckerman, D. Geiger, D. M. Chickering posted to algorithm bayesian bayesnets learning structure bibtex-import by pliz on 2007-10-18 07:01:19 as
	ICML [My Copy] ({2006}) edited by William W. Cohen, Andrew Moore posted to bayesian nets bibtex-import by pliz on 2007-10-18 07:01:19 as
	Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic data [My Copy] Physics in Medicine and Biology, Vol. 51, No. 21. (7 November 2006), pp. 5549-5564. by Jun, C. Sung, Plis, et al.M. Sergey, Ranken, M. Doug, Schmidt, M. David posted to my-papers by pliz on 2007-10-18 07:00:58 as
	Probabilistic forward model for electroencephalography source analysis [My Copy] Physics in Medicine and Biology, Vol. 52, No. 17. (7 September 2007), pp. 5309-5327. by Plis, M. Sergey, George, et al.S. John, Jun, C. Sung, Ranken, M. Doug, Volegov, L. Petr, Schmidt, M. David posted to my-papers by pliz on 2007-10-18 07:00:42 as
	Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data [My Copy] NeuroImage, Vol. 28, No. 1. (15 October 2005), pp. 84-98. by Sung C. Jun, John S. George, Juliana Pare-Blagoev, et al.Sergey M. Plis, Doug M. Ranken, David M. Schmidt, C. C. Wood posted to my-papers by pliz on 2007-10-18 07:00:19 as
	Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysis [My Copy] Physics in Medicine and Biology, Vol. 51, No. 10. (21 May 2006), pp. 2395-2414. by Sung C. Jun, John S. George, Sergey M. Plis, Doug M. Ranken, David M. Schmidt, C. C. Wood posted to my-papers by pliz on 2007-10-18 06:59:21 as
	Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006 [My Copy] In {ICML} ({2006}) by Jiang Su, Harry Zhang edited by William W. Cohen, Andrew Moore posted to bayesian nets bibtex-import by pliz on 2007-10-18 06:56:41 as
	Pattern Recognition and Machine Learning (Information Science and Statistics) [My Copy] (August {2006}) by Christopher M. Bishop posted to machine-learning pattern-recognition bibtex-import by pliz on 2007-10-18 06:56:41 as

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