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» Matrix algebra and applicative programming
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IPPS
2007
IEEE
14 years 2 months ago
POET: Parameterized Optimizations for Empirical Tuning
The excessive complexity of both machine architectures and applications have made it difficult for compilers to statically model and predict application behavior. This observatio...
Qing Yi, Keith Seymour, Haihang You, Richard W. Vu...
CPHYSICS
2007
437views more  CPHYSICS 2007»
13 years 7 months ago
Python: a language for computational physics
Python is a relatively new computing language, created by Guido van Rossum (Tanenbaum et al, 1990), which is particularly suitable for teaching a course in computational physics. ...
P. H. Borcherds
CAD
1999
Springer
13 years 7 months ago
Set-combinations of the mixed-dimension cellular objects of the Djinn API
This paper is concerned with the mathematics and formal specification of "set-like" operations for the mixed dimension cellular objects of the Djinn Application Programm...
Alan E. Middleditch, Chris Reade, Abel J. P. Gomes
ICML
2009
IEEE
14 years 8 months ago
Geometry-aware metric learning
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Zhengdong Lu, Prateek Jain, Inderjit S. Dhillon
ICML
2008
IEEE
14 years 8 months ago
Training SVM with indefinite kernels
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
Jianhui Chen, Jieping Ye