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» Reducing Cognitive Overhead on the World Wide Web
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ICANN
2011
Springer
12 years 9 months ago
Hybrid Parallel Classifiers for Semantic Subspace Learning
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
Nandita Tripathi, Michael P. Oakes, Stefan Wermter
WWW
2006
ACM
14 years 6 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
ECIS
2000
13 years 7 months ago
Trust in Electronic Learning and Teaching Relationships: The Case of WINFO-Line
Electronic relationships in the context of electronic commerce and especially in the context of electronic learning and teaching are on the rise. However, besides the well known te...
Harald F. O. von Kortzfleisch, Udo Winand
INFOCOM
2012
IEEE
11 years 8 months ago
Realizing the full potential of PSM using proxying
Abstract—The WiFi radio in smartphones consumes a significant portion of energy when active. To reduce the energy consumption, the Power Saving Mode was standardized in IEEE 802...
Ning Ding, Abhinav Pathak, Dimitrios Koutsonikolas...
WWW
2009
ACM
14 years 6 months ago
Enhancing diversity, coverage and balance for summarization through structure learning
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Y...