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BMCBI
2005
89views more  BMCBI 2005»
13 years 5 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
CHI
2005
ACM
14 years 6 months ago
Tuning and testing scrolling interfaces that automatically zoom
Speed dependent automatic zooming (SDAZ) is a promising refinement to scrolling in which documents are automatically zoomed-out as the scroll rate increases. By automatically zoom...
Andy Cockburn, Joshua Savage, Andrew Wallace
PR
2007
104views more  PR 2007»
13 years 5 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
14 years 6 days ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani
IPPS
2006
IEEE
13 years 11 months ago
A framework to develop symbolic performance models of parallel applications
Performance and workload modeling has numerous uses at every stage of the high-end computing lifecycle: design, integration, procurement, installation and tuning. Despite the trem...
Sadaf R. Alam, Jeffrey S. Vetter