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» Applying Learning by Examples for Digital Design Automation
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DAC
2003
ACM
14 years 8 months ago
Coverage directed test generation for functional verification using bayesian networks
Functional verification is widely acknowledged as the bottleneck in the hardware design cycle. This paper addresses one of the main challenges of simulation based verification (or...
Shai Fine, Avi Ziv
BMCBI
2006
165views more  BMCBI 2006»
13 years 7 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
ATC
2009
Springer
14 years 2 months ago
A Universal Self-Organization Mechanism for Role-Based Organic Computing Systems
Abstract. An Organic Computing system has the ability to autonomously (re-)organize and adapt itself. Such a system exhibits so called self-x properties (e.g. self-healing) and is ...
Florian Nafz, Frank Ortmeier, Hella Seebach, Jan-P...
AH
2008
Springer
14 years 1 months ago
A Validation Framework for Formal Models in Adaptive Work-Integrated Learning
The focus of my thesis is on the development of a multi-method framework for the validation of formal models (domain model, user model, and teaching model) for adaptive work-integr...
Barbara Kump
ICML
1999
IEEE
14 years 8 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting