Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Query recommendation suggests related queries for search engine users when they are not satisfied with the results of an initial input query, thus assisting users in improving sear...
This paper addresses a relatively new text categorization problem: classifying a political blog as either `liberal' or `conservative', based on its political leaning. Ins...
Standardization of data is a prerequisite to achieve semantic interoperability in any domain. This is even more important in the healthcare sector where the need for exchanging he...
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001