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» Dimensions of machine learning in design
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145
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CHES
2011
Springer
240views Cryptology» more  CHES 2011»
14 years 3 months ago
Lightweight and Secure PUF Key Storage Using Limits of Machine Learning
A lightweight and secure key storage scheme using silicon Physical Unclonable Functions (PUFs) is described. To derive stable PUF bits from chip manufacturing variations, a lightwe...
Meng-Day (Mandel) Yu, David M'Raïhi, Richard ...
145
Voted
AAI
2005
117views more  AAI 2005»
15 years 3 months ago
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning an...
Susana Fernández, Ricardo Aler, Daniel Borr...
181
Voted
ITC
1997
IEEE
129views Hardware» more  ITC 1997»
15 years 7 months ago
On Using Machine Learning for Logic BIST
This paper presents a new approach for designing test sequences to be generated on–chip. The proposed technique is based on machine learning, and provides a way to generate effi...
Christophe Fagot, Patrick Girard, Christian Landra...
138
Voted
CBMS
2006
IEEE
15 years 9 months ago
Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia
The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...
Olivier Caelen, Gianluca Bontempi, Eddy Coussaert,...
120
Voted
SEKE
2004
Springer
15 years 9 months ago
Supporting the Requirements Prioritization Process. A Machine Learning approach
Requirements prioritization plays a key role in the requirements engineering process, in particular with respect to critical tasks such as requirements negotiation and software re...
Paolo Avesani, Cinzia Bazzanella, Anna Perini, Ang...