90 search results - page 7 / 18 » Learning Dependencies between Case Frame Slots |
88
Voted
ICML
2010
IEEE
15 years 12 hour ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
COLT
1998
Springer
15 years 3 months ago
1998
Springer
Empirical studies of multitask learning provide some evidence that the performance of a learning system on its intended targets improves by presenting to the learning system relat...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Abstract— Imitation learning in robots, also called programing by demonstration, has made important advances in recent years, allowing humans to teach context dependant motor ski...
91
Voted
ICDM
2009
IEEE
14 years 8 months ago
2009
IEEE
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
116
Voted
AAAI
2012
13 years 1 months ago
2012
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...