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102
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BMCBI
2010
117views more  BMCBI 2010»
15 years 17 days 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
BMCBI
2007
194views more  BMCBI 2007»
15 years 17 days ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
110
Voted
ICCAD
2006
IEEE
152views Hardware» more  ICCAD 2006»
15 years 9 months ago
Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression
Process variations in modern VLSI technologies are growing in both magnitude and dimensionality. To assess performance variability, complex simulation and performance models param...
Zhuo Feng, Peng Li
83
Voted
ICRA
1998
IEEE
100views Robotics» more  ICRA 1998»
15 years 4 months ago
Design for Tolerance of Electro-Mechanical Assemblies
Tolerancing decisions can profoundly impact the quality and cost of electro-mechanical assemblies. Existing approaches to tolerance analysis and synthesis in design entail detailed...
Rachuri Sudarsan, Y. Narahari, Kevin W. Lyons, Ram...
SPLC
2007
15 years 1 months ago
Feature Diagrams and Logics: There and Back Again
Feature modeling is a notation and an approach for modeling commonality and variability in product families. In their basic form, feature models contain mandatory/optional feature...
Krzysztof Czarnecki, Andrzej Wasowski