709 search results - page 87 / 142 » The changing science of machine learning |
SIGKDD
2000
13 years 8 months ago
2000
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
COLT
2010
Springer
13 years 7 months ago
2010
Springer
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
ACMSE
2006
ACM
14 years 3 months ago
2006
ACM
Computing reliable gene expression levels from microarray experiments is a sophisticated process with many potential pitfalls. Quality control is one of the most important steps i...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
ECAL
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Inspired by the recent advances in evolutionary biology, we have developed a self-organising, self-adaptable cellular system for multitask learning. The main aim of our p...