266 search results - page 1 / 54 » Learning to Identify Unexpected Instances in the Test Set |
IJCAI
2007
13 years 6 months ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
PASTE
2010
ACM
13 years 10 months ago
2010
ACM
Inaccurate documentation can mislead programmers and cause software to fail in unexpected ways. We examine mismatches between documented and actual error codes returned by 42 Linu...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a novel classification approach for automatically detecting pulmonary embolism (PE) from computedtomography-angiography images. Unlike most existing approaches that req...
AUSAI
2008
Springer
13 years 7 months ago
2008
Springer
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...