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» On self-embeddings of computable linear orderings
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ISSAC
2009
Springer
147views Mathematics» more  ISSAC 2009»
15 years 4 months ago
Fast algorithms for differential equations in positive characteristic
We address complexity issues for linear differential equations in characteristic p > 0: resolution and computation of the p-curvature. For these tasks, our main focus is on al...
Alin Bostan, Éric Schost
DATE
2003
IEEE
104views Hardware» more  DATE 2003»
15 years 3 months ago
Symbolic Analysis of Nonlinear Analog Circuits
A new method is presented to model symbolically strongly nonlinear circuits, characterized by Piece-Wise Linear (PWL) functions. The method follows the idea of Bokhoven and Leenae...
Alicia Manthe, Zhao Li, C.-J. Richard Shi, Kartike...
COLING
2010
14 years 4 months ago
Kernel Slicing: Scalable Online Training with Conjunctive Features
This paper proposes an efficient online method that trains a classifier with many conjunctive features. We employ kernel computation called kernel slicing, which explicitly consid...
Naoki Yoshinaga, Masaru Kitsuregawa
ICCAD
2006
IEEE
152views Hardware» more  ICCAD 2006»
15 years 6 months ago
Fast and robust quadratic placement combined with an exact linear net model
— This paper presents a robust quadratic placement approach, which offers both high-quality placements and excellent computational efficiency. The additional force which distrib...
Peter Spindler, Frank M. Johannes
SIGIR
2006
ACM
15 years 3 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi