133 search results - page 19 / 27 » Measure Transformer Semantics for Bayesian Machine Learning |
119
Voted
MIR
2005
ACM
15 years 6 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
In various application domains, including image recognition, it is natural to represent each example as a set of vectors. With a base kernel we can implicitly map these vectors to...
89
Voted
ICMLA
2009
14 years 10 months ago
2009
Abstract--Many studies have shown the limits of support/confidence framework used in Apriori-like algorithms to mine association rules. One solution to cope with this limitation is...
101
Voted
RAS
2010
14 years 10 months ago
2010
This paper presents an approach for tracking multiple persons on a mobile robot with a combination of colour and thermal vision sensors, using several new techniques. First, an ad...
102
Voted
ALT
2006
Springer
15 years 9 months ago
2006
Springer
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...