1034 search results - page 85 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
KDD
2004
ACM
15 years 10 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
ICMLA
2009
14 years 7 months ago
2009
Sparse representation for machine learning has been exploited in past years. Several sparse representation based classification algorithms have been developed for some application...
BMCBI
2010
14 years 10 months ago
2010
Background: The aim of this study was to provide a framework for the analysis of visceral obesity and its determinants in women, where complex inter-relationships are observed amo...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
WWW
2009
ACM
15 years 10 months ago
2009
ACM
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...