136 search results - page 2 / 28 » A Framework for Machine Learning with Ambiguous Objects |
ECTEL
2006
Springer
13 years 8 months ago
2006
Springer
In this poster, we will propose a framework for finding, recommending and inserting learning objects in a digital repository level, exploiting the user context that is captured fro...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
NAACL
2003
13 years 6 months ago
2003
Homograph ambiguity is an original issue in Text-to-Speech (TTS). To disambiguate homograph, several efficient approaches have been proposed such as part-of-speech (POS) n-gram, B...
ECTEL
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We introduce an ontology-based semantic modelling framework that addresses subject domain modelling, instruction modelling, and interoperability aspects in the developmen...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...