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ICML
2005
IEEE
14 years 9 months ago
The cross entropy method for classification
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
Shie Mannor, Dori Peleg, Reuven Y. Rubinstein
SIAMSC
2008
143views more  SIAMSC 2008»
13 years 8 months ago
Numerical Valuation of European and American Options under Kou's Jump-Diffusion Model
Numerical methods are developed for pricing European and American options under Kou's jump-diffusion model which assumes the price of the underlying asset to behave like a ge...
Jari Toivanen
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 2 months ago
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
Shirish Krishnaj Shevade, Wei Chu
ICDAR
2009
IEEE
13 years 6 months ago
Symbol Detection Using Region Adjacency Graphs and Integer Linear Programming
In this paper, we tackle the problem of localizing graphical symbols on complex technical document images by using an original approach to solve the subgraph isomorphism problem. ...
Pierre Le Bodic, Hervé Locteau, Séba...
ARC
2010
Springer
387views Hardware» more  ARC 2010»
14 years 3 months ago
Optimising Memory Bandwidth Use for Matrix-Vector Multiplication in Iterative Methods
Computing the solution to a system of linear equations is a fundamental problem in scientific computing, and its acceleration has drawn wide interest in the FPGA community [1–3]...
David Boland, George A. Constantinides