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» Seven Habits of Highly Successful Input Modelers
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WSC
1997
13 years 6 months ago
Seven Habits of Highly Successful Input Modelers
Discrete-event simulation models typically have stochastic components that mimic the probabilistic nature of the system under consideration. Successful input modeling requires a c...
Lawrence Leemis
ALMOB
2008
92views more  ALMOB 2008»
13 years 5 months ago
Reconstructing phylogenies from noisy quartets in polynomial time with a high success probability
Background: In recent years, quartet-based phylogeny reconstruction methods have received considerable attentions in the computational biology community. Traditionally, the accura...
Gang Wu, Ming-Yang Kao, Guohui Lin, Jia-Huai You
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
13 years 11 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
DAC
2006
ACM
14 years 5 months ago
Gain-based technology mapping for minimum runtime leakage under input vector uncertainty
The gain-based technology mapping paradigm has been successfully employed for finding minimum delay and minimum area mappings. However, existing gain-based technology mappers fail...
Ashish Kumar Singh, Murari Mani, Ruchir Puri, Mich...
DSN
2007
IEEE
13 years 11 months ago
Dynamic Fault Tree Analysis Using Input/Output Interactive Markov Chains
Dynamic Fault Trees (DFT) extend standard fault trees by allowing the modeling of complex system components’ behaviors and interactions. Being a high level model and easy to use...
Hichem Boudali, Pepijn Crouzen, Mariëlle Stoe...