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» Timed, Distributed, Probabilistic, Typed Processes
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ICDE
2011
IEEE
237views Database» more  ICDE 2011»
13 years 12 days ago
Creating probabilistic databases from imprecise time-series data
— Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to t...
Saket Sathe, Hoyoung Jeung, Karl Aberer
COLT
1994
Springer
14 years 24 days ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
NOSSDAV
2009
Springer
14 years 3 months ago
Probabilistic event resolution with the pairwise random protocol
Peer-to-peer distributed virtual environments (DVE's) distribute state tracking and state transitions. Many DVE's - such as online games - require ways to fairly determi...
John L. Miller, Jon Crowcroft
HPCA
2007
IEEE
14 years 9 months ago
Implications of Device Timing Variability on Full Chip Timing
As process technologies continue to scale, the magnitude of within-die device parameter variations is expected to increase and may lead to significant timing variability. This pap...
Murali Annavaram, Ed Grochowski, Paul Reed
WWW
2005
ACM
14 years 9 months ago
Clustering for probabilistic model estimation for CF
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
Qing Li, Byeong Man Kim, Sung-Hyon Myaeng