394 search results - page 1 / 79 » Environment classifiers |
AI
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. The purpose of this paper is to test the hypothesis that simple classifiers are more robust to changing environments than complex ones. We propose a strategy for generati...
AI
2010
Springer
12 years 11 months ago
2010
Springer
Abstract. In this paper, we test some of the most commonly used classifiers to identify which ones are the most robust to changing environments. The environment may change over tim...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
CORR
2000
Springer
13 years 4 months ago
2000
Springer
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...