A schema mapping is a specification that describes how data structured under one schema (the source schema) is to be transformed into data structured under a different schema (the...
There are several parallel programming models available for numerical computations at diļ¬erent levels of expressibility and ease of use. For the development of new domain speciļ¬...
Named entity recognition systems sometimes have difficulty when applied to data from domains that do not closely match the training data. We first use a simple rule-based techniqu...
Asad B. Sayeed, Timothy J. Meyer, Hieu C. Nguyen, ...
To solve the sparsity problem in collaborative ļ¬ltering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...