22 search results - page 4 / 5 » Learning Weighted Metrics to Minimize Nearest-Neighbor Class... |
ML
2010
ACM
13 years 2 months ago
2010
ACM
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
NN
2002
Springer
13 years 7 months ago
2002
Springer
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
FLAIRS
2006
13 years 8 months ago
2006
AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective i...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
TIT
2008
13 years 7 months ago
2008
Abstract--The ranking problem has become increasingly important in modern applications of statistical methods in automated decision making systems. In particular, we consider a for...