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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
2006
169views more  JMLR 2006»
13 years 7 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
ENTCS
2007
113views more  ENTCS 2007»
13 years 7 months ago
Modular Checkpointing for Atomicity
Transient faults that arise in large-scale software systems can often be repaired by re-executing the code in which they occur. Ascribing a meaningful semantics for safe re-execut...
Lukasz Ziarek, Philip Schatz, Suresh Jagannathan
JSAC
2006
96views more  JSAC 2006»
13 years 7 months ago
Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization
Abstract--The current framework of network utility maximization for rate allocation and its price-based algorithms assumes that each link provides a fixed-size transmission "p...
Jang-Won Lee, Mung Chiang, A. Robert Calderbank
MICRO
2006
IEEE
94views Hardware» more  MICRO 2006»
13 years 7 months ago
A Sampling Method Focusing on Practicality
In the past few years, several research works have demonstrated that sampling can drastically speed up architecture simulation, and several of these sampling techniques are already...
Daniel Gracia Pérez, Hugues Berry, Olivier ...
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