Papers
Conditional Probability Estimation
Marco E. G. V. Cattaneo
Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks
Cory J. Butz, André E. dos Santos, Jhonatan S. Oliveira
On Bayesian Network Inference with Simple Propagation
Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos et al.
Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case
Marcos L.P. Bueno, Arjen Hommersom, Peter J.F. Lucas et al.
Bayesian Networks: a Combined Tuning Heuristic
Janneke H. Bolt
Learning Tractable Multidimensional Bayesian Network Classifiers
Marco Benjumeda, Concha Bielza, Pedro Larrañaga
Regime Aware Learning
Marcus Bendtsen
Proceedings of the Eighth International Conference on Probabilistic Graphical Models
Alessandro Antonucci, Giorgio Corani, Cassio Polpo Campos
DQBarge: Improving Data-Quality Tradeoffs in Large-Scale Internet Services
Michael Chow, Kaushik Veeraraghavan, Michael Cafarella et al.
History-Based Harvesting of Spare Cycles and Storage in Large-Scale Datacenters
Yunqi Zhang, George Prekas, Giovanni Matteo Fumarola et al.
Slicer: Auto-Sharding for Datacenter Applications
Atul Adya, Daniel Myers, Jon Howell et al.
Diamond: Automating Data Management and Storage for Wide-Area, Reactive Applications
Irene Zhang, Niel Lebeck, Pedro Fonseca et al.
Coordinated and Efficient Huge Page Management with Ingens
Youngjin Kwon, Hangchen Yu, Simon Peter et al.
SCONE: Secure Linux Containers with Intel SGX
Sergei Arnautov, Bohdan Trach, Franz Gregor et al.
EbbRT: A Framework for Building Per-Application Library Operating Systems
Dan Schatzberg, James Cadden, Han Dong et al.
CertiKOS: An Extensible Architecture for Building Certified Concurrent OS Kernels
Ronghui Gu, Zhong Shao, Hao Chen et al.
Kraken: Leveraging Live Traffic Tests to Identify and Resolve Resource Utilization Bottlenecks in Large Scale Web Services
Kaushik Veeraraghavan, Justin Meza, David Chou et al.
Early Detection of Configuration Errors to Reduce Failure Damage
Tianyin Xu, Xinxin Jin, Peng Huang et al.
Non-Intrusive Performance Profiling for Entire Software Stacks Based on the Flow Reconstruction Principle
Xu Zhao, Kirk Rodrigues, Yu Luo et al.
Big Data Analytics over Encrypted Datasets with Seabed
Antonis Papadimitriou, Ranjita Bhagwan, Nishanth Chandran et al.
Alpenhorn: Bootstrapping Secure Communication without Leaking Metadata
David Lazar, Nickolai Zeldovich
Unobservable Communication over Fully Untrusted Infrastructure
Sebastian Angel, Srinath Setty
Ryoan: A Distributed Sandbox for Untrusted Computation on Secret Data
Tyler Hunt, Zhiting Zhu, Yuanzhong Xu et al.
Consolidating Concurrency Control and Consensus for Commits under Conflicts
Shuai Mu, Lamont Nelson, Wyatt Lloyd et al.