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BMCBI
2008
98views more  BMCBI 2008»
14 years 9 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
IPPS
2003
IEEE
15 years 3 months ago
Better Real-Time Response for Time-Share Scheduling
As computing systems of all types grow in power and complexity, it is common to want to simultaneously execute processes with different timeliness constraints. Many systems use CP...
Scott A. Banachowski, Scott A. Brandt
PR
2010
147views more  PR 2010»
14 years 8 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani
METRICS
2005
IEEE
15 years 3 months ago
Acceptance Issues in Metrics Program Implementation
Software process improvement initiatives such as metrics programs have a high failure rate during their assimilation in a software organization. Social and individual issues are s...
Medha Umarji, Henry Emurian
ATAL
2006
Springer
15 years 1 months ago
Continuous refinement of agent resource estimates
The challenge we address is to reason about projected resource usage within a hierarchical task execution framework in order to improve agent effectiveness. Specifically, we seek ...
David N. Morley, Karen L. Myers, Neil Yorke-Smith