354 search results - page 28 / 71 » Learning classifiers from only positive and unlabeled data |
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
IJCAI
2007
13 years 11 months ago
2007
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
NIPS
2008
13 years 11 months ago
2008
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
KES
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...