389 search results - page 33 / 78 » Rank Selection in Multidimensional Data |
RSFDGRC
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
AAAI
2012
11 years 11 months ago
2012
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
ICMCS
2005
IEEE
14 years 2 months ago
2005
IEEE
This paper proposes a method for key-frame selection of captured motion data. In many cases, it is desirable to obtain a compact representation of the human motion. Key-framing is...
SAC
2008
ACM
13 years 8 months ago
2008
ACM
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...