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» A Data Analysis Method for Software Performance Prediction
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133
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ISPAN
2002
IEEE
15 years 8 months ago
On the Impact of Naming Methods for Heap-Oriented Pointers in C Programs
Many applications written in C allocate memory blocks for their major data structures from the heap space at runtime. The analysis of heap-oriented pointers in such programs is cr...
Tong Chen, Jin Lin, Wei-Chung Hsu, Pen-Chung Yew
145
Voted
ISCA
1991
IEEE
162views Hardware» more  ISCA 1991»
15 years 7 months ago
Comparison of Hardware and Software Cache Coherence Schemes
We use mean value analysis models to compare representative hardware and software cache coherence schemes for a large-scale shared-memory system. Our goal is to identify the workl...
Sarita V. Adve, Vikram S. Adve, Mark D. Hill, Mary...
129
Voted
BMCBI
2007
173views more  BMCBI 2007»
15 years 3 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
126
Voted
ECML
2004
Springer
15 years 9 months ago
Inducing Polynomial Equations for Regression
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
Ljupco Todorovski, Peter Ljubic, Saso Dzeroski
118
Voted
BMCBI
2007
239views more  BMCBI 2007»
15 years 3 months ago
Pre-processing Agilent microarray data
Background: Pre-processing methods for two-sample long oligonucleotide arrays, specifically the Agilent technology, have not been extensively studied. The goal of this study is to...
Marianna Zahurak, Giovanni Parmigiani, Wayne Yu, R...