The domain-specific track uses test collections from the social science domain to test monolingual and cross-language retrieval in structured bibliographic databases. Special atte...
Vivien Petras, Stefan Baerisch, Maximilian Stempfh...
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
In this paper we introduce POLAR, a probabilistic objectoriented logical framework for annotation-based information retrieval. In POLAR, the knowledge about digital objects, annot...
The Digital Anthropology Resources for Teaching (DART) project integrates the content acquisition and cataloging initiatives of a federated digital repository with the development...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...