Recently there has been significant interest in supervised learning algorithms that combine labeled and unlabeled data for text learning tasks. The co-training setting [1] applie...
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...
Context-aware applications pose new challenges, including a need for new computational models, uncertainty management, and efficient optimization under uncertainty. Uncertainty c...
Jennifer L. Wong, Weiping Liao, Fei Li, Lei He, Mi...
Computational grids are increasingly being deployed in campus environments to provide unified access to distributed and heterogeneous resources such as clusters, storage arrays, ...
Indexing XML is crucial for efficient XML query processing. We propose a compact tree (Ctree) for XML indexing, which provides not only concise path summaries at group level but a...