377 search results - page 24 / 76 » Assessing Data Mining Results on Matrices with Randomization |
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
IJCAI
2003
13 years 10 months ago
2003
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
INCDM
2010
Springer
13 years 7 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
SIGSOFT
1995
ACM
14 years 5 days ago
1995
ACM
—We conducted a long-term experiment to compare the costs and benefits of several different software inspection methods. These methods were applied by professional developers to ...