158 search results - page 5 / 32 » A Dynamic Adaptation of AD-trees for Efficient Machine Learn... |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Learning to cope with domain change has been known
as a challenging problem in many real-world applications.
This paper proposes a novel and efficient approach, named
domain ada...
JUCS
2008
13 years 5 months ago
2008
: One of the key problems in developing standard based adaptive courses is the complexity involved in the design phase, especially when establishing the hooks for the dynamic model...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
Most of the existing approaches to collaborative filtering cannot handle very large data sets. In this paper we show how a class of two-layer undirected graphical models, called R...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...