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DKE
2006
122views more  DKE 2006»
13 years 8 months ago
Sampling, information extraction and summarisation of Hidden Web databases
Hidden Web databases maintain a collection of specialised documents, which are dynamically generated in response to users' queries. The majority of these documents are genera...
Yih-Ling Hedley, Muhammad Younas, Anne E. James, M...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
TREC
2001
13 years 10 months ago
SiteQ: Engineering High Performance QA System Using Lexico-Semantic Pattern Matching and Shallow NLP
s In TREC-10, we participated in the web track (only ad-hoc task) and the QA track (only main task). In the QA track, our QA system (SiteQ) has general architecture with three proc...
Gary Geunbae Lee, Jungyun Seo, Seungwoo Lee, Hanmi...
CCGRID
2001
IEEE
14 years 10 days ago
QoS-Aware Discovery of Wide-Area Distributed Services
The global computational grids bring together distributed computation/communication resources. Beyond this, we envision the emergence of global `service grids', which provide...
Dongyan Xu, Klara Nahrstedt, Duangdao Wichadakul
CVPR
2011
IEEE
13 years 6 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...