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CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 7 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun
ICSE
2003
IEEE-ACM
14 years 20 days ago
An Analysis of the Fault Correction Process in a Large-Scale SDL Production Model
Improvements in the software development process depend on our ability to collect and analyze data drawn from various phases of the development life cycle. Our design metrics rese...
Dolores M. Zage, Wayne M. Zage
INFOCOM
2006
IEEE
14 years 1 months ago
Accelerating Simulation of Large-Scale IP Networks: A Network Invariant Preserving Approach
— In this paper, we propose a simulation framework, TranSim, that reduces the rate at which packet-events are generated, in order to accelerate large-scale simulation of IP netwo...
Hwangnam Kim, Hyuk Lim, Jennifer C. Hou
ICCS
2005
Springer
14 years 1 months ago
High-Fidelity Simulation of Large-Scale Structures
Active structures capable of responding to external stimulii represent the emerging frontier in structural design. Robust and real-time sensing, control, and actuation pose fundame...
Christoph Hoffmann, Ahmed H. Sameh, Ananth Grama
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 7 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky