2884 search results - page 8 / 577 » Evaluating learning algorithms and classifiers |
ICDM
2010
IEEE
13 years 8 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...
JMLR
2008
13 years 11 months ago
2008
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
ICPR
2006
IEEE
14 years 12 months ago
2006
IEEE
We propose a new maximum margin discriminative learning algorithm here for classification of temporal signals. It is superior to conventional HMM in the sense that it does not nee...
ACCV
2006
Springer
14 years 26 days ago
2006
Springer
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
KDD
2010
ACM
14 years 25 days ago
2010
ACM
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...