1651 search results - page 123 / 331 » Measuring the Complexity of Classification Problems |
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
A measure of stability for a wide class of pattern recognition algorithms is introduced to cope with overfitting in classification problems. Based on this concept, constructive me...
PR
2006
13 years 7 months ago
2006
Choosing appropriate values for kernel parameters is one of the key problems in many kernel-based methods because the values of these parameters have significant impact on the per...
TSD
2010
Springer
13 years 5 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
AUTOMATICA
2002
13 years 7 months ago
2002
This paper considers the problem of designing a controller for an unknown plant based on input/output measurements. The new design method we propose is direct (no model identificat...
MICRO
2003
IEEE
14 years 1 months ago
2003
IEEE
With power dissipation becoming an increasingly vexing problem across many classes of computer systems, measuring power dissipation of real, running systems has become crucial for...