1215 search results - page 105 / 243 » Dimensions of machine learning in design |
ICALT
2009
IEEE
14 years 3 months ago
2009
IEEE
Scientific practices increasingly incorporate sensors for data capture, information visualization for data analysis, and low-cost mobile devices for fieldbased inquiries incorpora...
ACML
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. In experimental design, a standard approach for distinguishing experimentally induced effects from unwanted effects is to design control measurements that differ only ...
ASPLOS
2010
ACM
14 years 4 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
ICML
1995
IEEE
14 years 10 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
ICALT
2006
IEEE
14 years 3 months ago
2006
IEEE
This paper challenges current practices in the use of digital media to communicate Australian Aboriginal knowledge practices in a learning context. It proposes that any digital re...