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» Learning from Logged Implicit Exploration Data
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HT
2007
ACM
13 years 10 months ago
Revealing the hidden rationality of user browsing behaviour
In this paper, we analyse web log data from user trials of the WHURLE-LS adaptive educational hypermedia (AEH) system from a behavioural perspective. This system allows users to s...
Elizabeth J. Brown, Tim J. Brailsford, Tony Fisher...
TVCG
2012
191views Hardware» more  TVCG 2012»
11 years 11 months ago
Live Speech Driven Head-and-Eye Motion Generators
—This paper describes a fully automated framework to generate realistic head motion, eye gaze, and eyelid motion simultaneously based on live (or recorded) speech input. Its cent...
Binh Huy Le, Xiaohan Ma, Zhigang Deng
CEC
2010
IEEE
13 years 9 months ago
Hyper-heuristics with a dynamic heuristic set for the home care scheduling problem
A hyper-heuristic performs search over a set of other search mechanisms. During the search, it does not require any problem-dependent data. This structure makes hyperheuristics pro...
Mustafa Misir, Katja Verbeeck, Patrick De Causmaec...
BMCBI
2008
219views more  BMCBI 2008»
13 years 8 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
14 years 5 months ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano