14 search results - page 1 / 3 » Efficient and Numerically Stable Sparse Learning |
78
Voted
PKDD
2010
Springer
14 years 8 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...
78
Voted
DAGSTUHL
2006
15 years 8 days ago
2006
We consider the problem of sparse interpolation of a multivariate black-box polynomial in floating-point arithmetic. That is, both the inputs and outputs of the black-box polynomia...
96
Voted
JMLR
2002
14 years 10 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
91
Voted
CVPR
2004
IEEE
16 years 27 days ago
2004
IEEE
Active contour models are among the most popular PDE-based tools in computer vision. In this paper we present a new algorithm for the fast evolution of geodesic active contours an...
85
Voted
JMLR
2006
14 years 10 months ago
2006
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...