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» Testing and Model-Checking Techniques for Diagnosis
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ML
2010
ACM
151views Machine Learning» more  ML 2010»
14 years 8 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
102
Voted
HPCA
2006
IEEE
15 years 10 months ago
BulletProof: a defect-tolerant CMP switch architecture
As silicon technologies move into the nanometer regime, transistor reliability is expected to wane as devices become subject to extreme process variation, particle-induced transie...
Kypros Constantinides, Stephen Plaza, Jason A. Blo...
IJCNN
2008
IEEE
15 years 3 months ago
Including multi-objective abilities in the Hybrid Intelligent Suite for decision support
— Hybrid intelligent systems (HIS) are very successful in tackling problems comprising of more than one distinct computational subtask. For instance, decision-making problems are...
Diogo Ferreira Pacheco, Flávio R. S. Olivei...
112
Voted
CIKM
2006
Springer
15 years 1 months ago
Structure-based querying of proteins using wavelets
The ability to retrieve molecules based on structural similarity has use in many applications, from disease diagnosis and treatment to drug discovery and design. In this paper, we...
Keith Marsolo, Srinivasan Parthasarathy, Kotagiri ...
100
Voted
BMCBI
2006
100views more  BMCBI 2006»
14 years 9 months ago
Design of microarray probes for virus identification and detection of emerging viruses at the genus level
Background: Most virus detection methods are geared towards the detection of specific single viruses or just a few known targets, and lack the capability to uncover the novel viru...
Cheng-Chung Chou, Te-Tsui Lee, Chun-Houh Chen, Hsi...