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ISI
2006
Springer
13 years 7 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
JMLR
2008
159views more  JMLR 2008»
13 years 7 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin
HOTOS
1993
IEEE
13 years 11 months ago
Object Groups May Be Better Than Pages
I argue against trying to solve the problem of clustering objects into disk pages. Instead, I propose that objects be fetched in groups that may be specific to an application or ...
Mark Day
TON
2012
11 years 10 months ago
Some Fundamental Results on Base Station Movement Problem for Wireless Sensor Networks
—The benefits of using mobile base station to prolong sensor network lifetime have been well recognized. However, due to the complexity of the problem (time-dependent network to...
Yi Shi, Y. Thomas Hou
POPL
2009
ACM
14 years 2 months ago
Low-pain, high-gain multicore programming in Haskell: coordinating irregular symbolic computations on multicore architectures
With the emergence of commodity multicore architectures, exploiting tightly-coupled parallelism has become increasingly important. Functional programming languages, such as Haskel...
Abdallah Al Zain, Kevin Hammond, Jost Berthold, Ph...