45 search results - page 6 / 9 » Regularization and Averaging of the Selective Naive Bayes cl... |
PAKM
2008
13 years 8 months ago
2008
With a rich variety of forms and types, digital resources are complex data objects. They grows fast in volume on the Web, but hard to be classified efficiently. The paper presents ...
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
BIBE
2007
IEEE
13 years 10 months ago
2007
IEEE
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
NIPS
2008
13 years 8 months ago
2008
We provide a new analysis of an efficient margin-based algorithm for selective sampling in classification problems. Using the so-called Tsybakov low noise condition to parametrize...
MICAI
2010
Springer
13 years 4 months ago
2010
Springer
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...