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JMLR
2008
209views more  JMLR 2008»
15 years 7 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
IAJIT
2007
146views more  IAJIT 2007»
15 years 7 months ago
Adaptive Optimizing of Hello Messages in Wireless Ad-Hoc Networks
: Routing is an important functional aspect in wireless ad-hoc networks that handles discovering and maintaining the paths between nodes within a network. Due to nodes mobility, th...
Essam Natsheh, Adznan B. Jantan, Sabira Khatun, Su...
ISBI
2006
IEEE
16 years 8 months ago
Molecular image registration using mutual information and differential evolution optimization
In this work we propose a novel rigid image registration approach to determine the position of high-resolution molecular structures in medium-resolution macromolecular complexes. ...
Bartosz Telenczuk, María J. Ledesma-Carbayo...
ISPD
2010
ACM
205views Hardware» more  ISPD 2010»
16 years 2 months ago
Total sensitivity based dfm optimization of standard library cells
Standard cells are fundamental circuit building blocks designed at very early design stages. Nanometer standard cells are prone to lithography proximity and process variations. Ho...
Yongchan Ban, Savithri Sundareswaran, David Z. Pan
CGO
2009
IEEE
16 years 2 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