389 search results - page 15 / 78 » Rank Selection in Multidimensional Data |
GFKL
2005
Springer
14 years 1 months ago
2005
Springer
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maxi...
CIKM
2000
Springer
13 years 12 months ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
MIR
2010
ACM
13 years 9 months ago
2010
ACM
Multimedia ranking algorithms are usually user-neutral and measure the importance and relevance of documents by only using the visual contents and meta-data. However, users’ int...
EOR
2008
13 years 7 months ago
2008
We discuss the design of multi-dimensional tender and auction mechanisms that combine Data Envelopment Analysis (DEA) and auction theory. The mechanisms select an agent to perform...
CBMS
2005
IEEE
13 years 9 months ago
2005
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...