—Integration of data from multiple sources makes it possible to build effective systems management solutions. Despite the expected benefits, data integration remains a challenge....
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our pr...
Digital audio and video have recently taken a center stage in the communication world, which highlights the importance of digital media information management and indexing. It is ...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen