648 search results - page 87 / 130 » Large Margin Classification Using the Perceptron Algorithm |
125
Voted
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
118
Voted
CHES
2005
Springer
2005
Springer
Scalable Hardware for Sparse Systems of Linear Equations, with Applications to Integer Factorization
15 years 7 months ago
Motivated by the goal of factoring large integers using the Number Field Sieve, several special-purpose hardware designs have been recently proposed for solving large sparse system...
107
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PKDD
2010
Springer
14 years 12 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
METRICS
1999
IEEE
15 years 6 months ago
1999
IEEE
Code duplication, plausibly caused by copying source code and slightly modifying it, is often observed in large systems. Clone detection and documentation have been investigated b...
113
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EWCBR
2008
Springer
15 years 3 months ago
2008
Springer
The use of computational methods is fundamental in cancer research. One of the possibilities is the use of Artificial Intelligence techniques. Several of these techniques have been...