1172 search results - page 14 / 235 » From Data Distributions to Regularization in Invariant Learn... |
TIP
2010
13 years 8 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
ECML
2001
Springer
14 years 2 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
ICANN
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
WSDM
2012
ACM
12 years 6 months ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
RECOMB
2007
Springer
14 years 10 months ago
2007
Springer
Learning the structure of a gene regulatory network from time-series gene expression data is a significant challenge. Most approaches proposed in the literature to date attempt to ...