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PROMISE
2010
14 years 11 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
IEEEPACT
2002
IEEE
15 years 9 months ago
Optimizing Loop Performance for Clustered VLIW Architectures
Modern embedded systems often require high degrees of instruction-level parallelism (ILP) within strict constraints on power consumption and chip cost. Unfortunately, a high-perfo...
Yi Qian, Steve Carr, Philip H. Sweany
VTC
2008
IEEE
15 years 10 months ago
Secure Vehicular Communication for Safety Applications - A Measurement Study
Abstract—In this paper, we explore the feasibility of vehicleto-vehicle (V2V) secure communication using public key cryptography. We implement a prototype and test it extensively...
Juhong Min, Jihun Ha, Sangki Yun, Inhye Kang, Hyog...
143
Voted
BMCBI
2010
117views more  BMCBI 2010»
15 years 4 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski
124
Voted
CACM
2011
120views more  CACM 2011»
14 years 11 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...