330 search results - page 37 / 66 » A Performance Prediction Framework for Grid-Based Data Minin... |
SDM
2010
SIAM
13 years 10 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
WSDM
2012
ACM
12 years 4 months ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
KDD
2010
ACM
13 years 10 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
DCC
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper investigates the design and application of the optimal filter banks for a predictioncompensated multiple description coding (PC-MDC) scheme, where the coefficients in e...