19 search results - page 2 / 4 » Generalized matrix learning vector quantizer for the analysi... |
CORR
2008
Springer
13 years 5 months ago
2008
Springer
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
ICANN
2001
Springer
13 years 10 months ago
2001
Springer
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
SIGIR
2008
ACM
2008
ACM
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
13 years 5 months ago
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...