Sciweavers

619 search results - page 18 / 124
» A Kernel Method for the Two-Sample Problem
Sort
View
SC
2003
ACM
14 years 19 days ago
A New Parallel Kernel-Independent Fast Multipole Method
We present a new adaptive fast multipole algorithm and its parallel implementation. The algorithm is kernel-independent in the sense that the evaluation of pairwise interactions do...
Lexing Ying, George Biros, Denis Zorin, Harper Lan...
ECAI
2010
Springer
13 years 8 months ago
Kernel Methods for Revealed Preference Analysis
In classical revealed preference analysis we are given a sequence of linear prices (i.e., additive over goods) and an agent's demand at each of the prices. The problem is to d...
Sébastien Lahaie
JMLR
2008
110views more  JMLR 2008»
13 years 7 months ago
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Matthias W. Seeger
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 9 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
PAKDD
2007
ACM
110views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Combining Convolution Kernels Defined on Heterogeneous Sub-structures
Convolution kernels, constructed by convolution of sub-kernels defined on sub-structures of composite objects, are widely used in classification, where one important issue is to ch...
Minlie Huang, Xiaoyan Zhu