12 search results - page 1 / 3 » Kernel Measures of Independence for non-iid Data |
NIPS
2008
13 years 6 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
NIPS
2007
13 years 6 months ago
2007
Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected st...
ALT
2008
Springer
14 years 1 months ago
2008
Springer
Abstract. Three simple and explicit procedures for testing the independence of two multi-dimensional random variables are described. Two of the associated test statistics (L1, log-...
NIPS
2008
13 years 6 months ago
2008
Object matching is a fundamental operation in data analysis. It typically requires the definition of a similarity measure between the classes of objects to be matched. Instead, we...
HOTOS
2007
IEEE
13 years 8 months ago
2007
IEEE
Optimistic synchronization allows concurrent execution of critical sections while performing dynamic conflict detection and recovery. Optimistic synchronization will increase perf...