Publications

Found 16 results
Author Title Type [ Year(Asc)]
Filters: Author is Michael I. Jordan  [Clear All Filters]
2022
Chasins, S., Cheung A., Crooks N., Ghodsi A., Goldberg K., Gonzalez J. E., et al. (2022).  The Sky Above the Clouds: A Berkeley View on the Future of Cloud Computing. arxiv.org.
2013
Pan, X., Gonzalez J., Jegelka S., Broderick T., & Jordan M. I. (2013).  Optimistic Concurrency Control for Distributed Unsupervised Learning.
2012
Haussler, D., Patterson D., Diekhans M., Fox A., Jordan M. I., Joseph A. D., et al. (2012).  A Million Cancer Genome Warehouse.
2011
Shyr, A., Darrell T., Jordan M. I., & Urtasun R. (2011).  Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation.
2010
Sankararaman, S., Obozinski G., Jordan M. I., & Halperin E. (2010).  Genomic Privacy and Limits of Individual Detection in a Pool.
2009
Sankararaman, S., Obozinski G., Jordan M. I., & Halperin E. (2009).  Genomic Privacy and Limits of Individual Detection in a Pool. Nature Genetics. 41(9), 965-967.
2008
Sankararaman, S., Kimmel G., Halperin E., & Jordan M. I. (2008).  On the Inference of Ancestries in Admixed Populations. 668-675.
2007
Kivinen, J. J., Sudderth E. B., & Jordan M. I. (2007).  Image Denoising with Nonparametric Hidden Markov Trees. 3, 121-124.
Kivinen, J. J., Sudderth E. B., & Jordan M. I. (2007).  Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes.
Kimmel, G., Jordan M. I., Halperin E., Shamir R., & Karp R. M. (2007).  A Randomization Test for Controlling Population Stratification in Whole-Genome Association Studies. American Journal of Human Genetics. 81(5), 895-905.
2004
Xing, E. P., Sharan R., & Jordan M. I. (2004).  Bayesian Haplotype Inference via the Dirichlet Process. Proceedings of the Second RECOMB Satellite Workshop on Computational Methods for SNP and Haplotypes. 99-112.
Xing, E. P., Sharan R., & Jordan M. I. (2004).  Bayesian Haplotype Inference via the Dirichlet Process. Proceedings of ICML 2004.
2003
Xing, E. P., Wu W.., Jordan M. I., & Karp R. M. (2003).  LOGOS: A Modular Bayesian Model for de Novo Motif Detection. Proceedings of IEEE Computer Society Bioinformatic Conference IPTPS.
2002
Xing, E. P., Ng A.. Y., Jordan M. I., & Russell S. (2002).  Distance Metric Learning, with Application to Clustering with Side-Information.
Xing, E. P., Jordan M. I., Karp R. M., & Russell S. (2002).  A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences.
2001
Xing, E. P., Jordan M. I., & Karp R. M. (2001).  Feature Selection for High-Dimensional Genomic Microarray Data. Proceedings of the 18th International Conference on Machine Learning (ICML 2001). 601-608.