1845 search results - page 58 / 369 » Machine-Learning Applications of Algorithmic Randomness |
MLDM
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
ECML
2007
Springer
14 years 3 months ago
2007
Springer
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
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...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
Many applications in text and speech processing require the analysis of distributions of variable-length sequences. We recently introduced a general kernel framework, rational ker...