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ASPLOS
2008
ACM
13 years 9 months ago
Predictor virtualization
Many hardware optimizations rely on collecting information about program behavior at runtime. This information is stored in lookup tables. To be accurate and effective, these opti...
Ioana Burcea, Stephen Somogyi, Andreas Moshovos, B...
WSCG
2004
120views more  WSCG 2004»
13 years 9 months ago
Voxelization of Solids Using Simplicial Coverings
Rasterization of polygons in 2D is a well known problem, existing several optimal solutions to solve it. The extension of this problem to 3D is more difficult and most existing so...
Antonio J. Rueda Ruiz, Rafael Jesús Segura,...
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 8 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 7 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
CSDA
2008
150views more  CSDA 2008»
13 years 7 months ago
Unimodal regression via prefix isotonic regression
This paper gives algorithms for determining real-valued univariate unimodal regressions, that is, for determining the optimal regression which is increasing and then decreasing. S...
Quentin F. Stout