2598 search results - page 19 / 520 » Experimental Design for Variable Selection in Data Bases |
PKDD
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
101
Voted
ECAI
2010
Springer
14 years 7 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
IDA
2002
Springer
14 years 9 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
JIFS
2008
14 years 9 months ago
2008
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
ICIP
2007
IEEE
15 years 3 months ago
2007
IEEE
This paper presents some techniques for efficient motion estimation (ME) implementation on fixed-point digital signal processor (DSP) for high resolution video coding. First, chal...