2090 search results - page 19 / 418 » Learning with attribute costs |
NETWORKS
2010
13 years 6 months ago
2010
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
AIME
2003
Springer
14 years 27 days ago
2003
Springer
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...
ICMLA
2003
13 years 9 months ago
2003
– Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an a...
COLT
1999
Springer
13 years 12 months ago
1999
Springer
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
AAAI
2012
11 years 10 months ago
2012
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...