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CGO
2009
IEEE
14 years 3 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
MOMM
2009
ACM
163views Communications» more  MOMM 2009»
14 years 1 months ago
Aspect-oriented modeling of adaptive web applications with HiLA
Modeling adaptivity is a challenging task for two reasons: 1) adaptation is usually strongly interwoven with the general functionality of the web application, separation of concer...
Gefei Zhang
CAV
2000
Springer
125views Hardware» more  CAV 2000»
14 years 19 days ago
Efficient Reachability Analysis of Hierarchical Reactive Machines
Hierarchical state machines is a popular visual formalism for software specifications. To apply automated analysis to such specifications, the traditional approach is to compile th...
Rajeev Alur, Radu Grosu, Michael McDougall
ICVGIP
2004
13 years 10 months ago
A Framework for Activity Recognition and Detection of Unusual Activities
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalr...
TACAS
2007
Springer
105views Algorithms» more  TACAS 2007»
14 years 3 months ago
Hoare Logic for Realistically Modelled Machine Code
This paper presents a mechanised Hoare-style programming logic framework for assembly level programs. The framework has been designed to fit on top of operational semantics of rea...
Magnus O. Myreen, Michael J. C. Gordon