Publications
Export 80 results:
Ganapathi, Archana, Yanpei Chen, Armando Fox, Randy Katz, & David Patterson
(2010). Statistics-Driven Workload Modeling for the Cloud.
Workshop on Self-Managing Database Systems (SMDB).
Ganapathi, Archana
(2009). Predicting and Optimizing System Utilization and Performance via Statistical Machine Learning.
Computer Science. PhD,
Chun, Byung-Gon, Gianluca Iannaccone, Giuseppe Iannaccone, Randy Katz, Gunho Lee, & Luca Niccolini
(2009). An Energy Case for Hybrid Datacenters.
HotPower. Abstract
Altekar, Gautam, & Ion Stoica
(2009). ODR: Output-Deterministic Replay for Multicore Debugging.
Symposium on Operating System Principles (SOSP).
Hindman, Benjamin, Andy Konwinski, Matei Zaharia, & Ion Stoica
(2009). A Common Substrate for Cluster Computing.
Proceedings of USENIX HotCloud'09: Workshop on Hot Topics in Cloud Computing. Abstract
Ganapathi, Archana, Kaushik Datta, Armando Fox, & David Patterson
(2009). A Case for Machine Learning to Optimize Multicore Performance.
Workshop on Hot Topics in Parallel Computing (HotPar).
Armbrust, Michael, Armando Fox, David Patterson, Nick Lanham, Haruki Oh, Beth Trushkowsky, et al.
(2009). Scads: Scale-independent storage for social computing applications.
Conference on Innovative Data Systems Research (CIDR). Abstract
Rubinstein, Benjamin I. P., Blaine Nelson, Ling Huang, & Anthony D. Joseph
(2009). Compromising and Defending PCA-based Anomaly Detectors for Network-Wide Traffic.
SIGMETRICS/Performance.
Cook, Henry, Krste Asanovic, & David Patterson
(2009). Virtual Local Stores: Enabling Software-Managed Memory Hierarchies in Mainstream Computing.
36th International Symposium on Computer Architecture (ISCA 2009).
Liang, P., D. Klein, & M. I. Jordan
(2008). Agreement-based learning.
Advances in Neural Information Processing Systems (NIPS).
Obozinski, G., C. E. Grant, G. R. G. Lanckriet, M. I. Jordan, & W. W. Noble
(2008). Consistent probabilistic outputs for protein function prediction.
Genome Biology.
Obozinski, G., C. E. Grant, G. R. G. Lanckriet, M. I. Jordan, & W. W. Noble
(2008). Consistent probabilistic outputs for protein function prediction.
Genome Biology.
Barreno, Marco, Peter L. Bartlett, Fuching Jack Chi, Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, et al.
(2008). Open Problems in the Security of Learning .
1st ACM Workshop on AlSec. 19-26. Abstract
Liang, P., M. I. Jordan, & D. Klein
(2008). Probabilistic grammars and hierarhical Dirichlet processes.
The Handbook of APplied Bayesian Analysis.
Sutton, Charles, & Michael I. Jordan
(2008). Probabilistic Inference in Queueing Networks.
In Workshop on Tackling Computer Systems Problems with Machine Learning Techniques (SysML). Abstract
Mackey, Lester
(2008). Deflation Methods for Sparse PCA.
Neural Information Processing Systems (NIPS'08). 1-8. Abstract
Lacoste-Julien, Simon, Fei Sha, & Michael I. Jordan
(2008). Discriminative learning for dimensionality reduction and classification.
Neural Information Processing Systems (NIPS'08). Abstract
Bodik, Peter, Moises Goldszmidt, & Armando Fox
(2008). HiLighter: Automatically Building Robust Signatures of Performance Behavior.
3rd Workshop on Tackling System Problems with Machine Learning Techniques (SysML'08). 1-6. Abstract
Zaharia, Matei, Andy Konwinski, Anthony Joseph, Randy Katz, & Ion Stoica
(2008). Improving MapReduce Performance in Heterogeneous Environments.
8th Symposium on Operating Systems Design and Implementation (OSDI 2008). 29-42. Abstract
Xu, Wei, Ling Huang, Armando Fox, David Patterson, & Michael Jordan
(2008). Mining Console Logs for Large-Scale System Problem Detection.
3rd Workshop on Tackling System Problems with Machine Learning Techniques (SysML'08). 1-6. Abstract