694 search results - page 29 / 139 » On the Dimensions of Data Complexity through Synthetic Data ... |
JMLR
2010
13 years 3 months ago
2010
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
SETN
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
SIGMOD
2011
ACM
12 years 11 months ago
2011
ACM
We study the problem of generating synthetic databases having declaratively specified characteristics. This problem is motivated by database system and application testing, data ...
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
EDBT
2006
ACM
14 years 9 months ago
2006
ACM
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...