1180 search results - page 50 / 236 » An Instance Selection Approach to Multiple Instance Learning |
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
COLT
1991
Springer
14 years 12 days ago
1991
Springer
While most theoretical work in machine learning has focused on the complexity of learning, recently there has been increasing interest in formally studying the complexity of teach...
JCP
2008
13 years 8 months ago
2008
The word over, among others, is associated with a great variety of syntactic categories and meanings. Although over has received attention from scholars in different frameworks for...
NCA
2007
IEEE
13 years 8 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
SAT
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Restart strategies are an important factor in the performance of conflict-driven Davis Putnam style SAT solvers. Selecting a good restart strategy for a problem instance...