29 search results - page 1 / 6 » Consequences of Variability in Classifier Performance Estima... |
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
VCIP
2003
13 years 6 months ago
2003
The adaptive coding schemes in H.264 standard provide a significant coding efficiency and some additional features like error resilience and network friendliness. The variable blo...
HPCA
2003
IEEE
14 years 4 months ago
2003
IEEE
Multi-threaded commercial workloads implement many important internet services. Consequently, these workloads are increasingly used to evaluate the performance of uniprocessor and...
IJBIDM
2006
13 years 4 months ago
2006
: Appraisal of companies is an important business activity. We mainly apply Bayesian networks for this classification task for Japanese electric company data. Firstly, few standard...
BMCBI
2010
13 years 4 months ago
2010
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...