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» Rough Set Model Selection for Practical Decision Making
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CAISE
2010
Springer
13 years 8 months ago
Situational Evaluation of Method Fragments: An Evidence-Based Goal-Oriented Approach
Despite advances in situational method engineering, many software organizations continue to adopt an ad-hoc mix of method fragments from wellknown development methods such as Scrum...
Hesam Chiniforooshan Esfahani, Eric Yu, Jordi Cabo...
ARTMED
1999
92views more  ARTMED 1999»
13 years 7 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
SOFSEM
2010
Springer
14 years 4 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
CHES
2006
Springer
81views Cryptology» more  CHES 2006»
13 years 11 months ago
Template Attacks in Principal Subspaces
Side-channel attacks are a serious threat to implementations of cryptographic algorithms. Secret information is recovered based on power consumption, electromagnetic emanations or ...
Cédric Archambeau, Eric Peeters, Fran&ccedi...
INFSOF
2007
145views more  INFSOF 2007»
13 years 7 months ago
Metrics for data warehouse conceptual models understandability
Due to the principal role of Data warehouses (DW) in making strategy decisions, data warehouse quality is crucial for organizations. Therefore, we should use methods, models, tech...
Manuel A. Serrano, Juan Trujillo, Coral Calero, Ma...