18 search results - page 2 / 4 » Data Mining in Metric Space: An Empirical Analysis of Superv... |
FOIKS
2008
Springer
14 years 3 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
ALT
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
AUSAI
2004
Springer
13 years 11 months ago
2004
Springer
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
ICDM
2002
IEEE
13 years 11 months ago
2002
IEEE
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
CCGRID
2007
IEEE
14 years 18 days ago
2007
IEEE
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...