151 search results - page 27 / 31 » Learning on the border: active learning in imbalanced data c... |
CHI
2011
ACM
12 years 11 months ago
2011
ACM
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
CHI
2009
ACM
14 years 8 months ago
2009
ACM
Knowing the intent of a search query allows for more intelligent ways of retrieving relevant search results. Most of the recent work on automatic detection of query intent uses su...
FUIN
2010
13 years 2 months ago
2010
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
CEC
2009
IEEE
14 years 8 days ago
2009
IEEE
—We present a new distributed genetic algorithm that can be used to extract useful information from distributed, large data over the network. The main idea of the proposed algori...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...