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MINENET
2006
ACM
14 years 4 months ago
SVM learning of IP address structure for latency prediction
We examine the ability to exploit the hierarchical structure of Internet addresses in order to endow network agents with predictive capabilities. Specifically, we consider Suppor...
Robert Beverly, Karen R. Sollins, Arthur Berger
SSPR
2004
Springer
14 years 3 months ago
Structures of Covariance Matrix in Handwritten Character Recognition
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
Sarunas Raudys, Masakazu Iwamura
HICSS
2005
IEEE
154views Biometrics» more  HICSS 2005»
14 years 3 months ago
Market Structure and the Predictability of Electricity System Line Flows: An Experimental Analysis
Robert Thomas has shown, using simulations of experimental results, that the power flow on any line in an electric network is linearly proportional to the total system load when t...
Nodir Adilov, Thomas Light, Richard E. Schuler, Wi...
PLDI
2012
ACM
12 years 23 days ago
Scalable and precise dynamic datarace detection for structured parallelism
Existing dynamic race detectors suffer from at least one of the following three limitations: (i) space overhead per memory location grows linearly with the number of parallel thre...
Raghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin...
BMCBI
2005
89views more  BMCBI 2005»
13 years 10 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg