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PDCAT
2009
Springer
15 years 8 months ago
Modular Consensus Algorithms for the Crash-Recovery Model
—In the crash-recovery failure model of asynchronous distributed systems, processes can temporarily stop to execute steps and later restart their computation from a predefined l...
Felix C. Freiling, Christian Lambertz, Mila E. Maj...
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 11 days ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
EGPGV
2004
Springer
143views Visualization» more  EGPGV 2004»
15 years 7 months ago
Massive Data Pre-Processing with a Cluster Based Approach
Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuit...
Rita Borgo, Valerio Pascucci, Roberto Scopigno
OZCHI
2009
ACM
15 years 8 months ago
Having fun at home: interleaving fieldwork and goal models
We aim to make sense of a perplexing human experience (fun) as it occurs in a recently discovered place for sociotechnical study (the home). Our toolkit includes technology probes...
Sonja Pedell, Tim Miller, Frank Vetere, Leon Sterl...
GLVLSI
2005
IEEE
205views VLSI» more  GLVLSI 2005»
15 years 7 months ago
Optimization objectives and models of variation for statistical gate sizing
This paper approaches statistical optimization by examining gate delay variation models and optimization objectives. Most previous work on statistical optimization has focused exc...
Matthew R. Guthaus, Natesan Venkateswaran, Vladimi...