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» Combining Learned and Highly-Reactive Management
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CHI
2004
ACM
14 years 10 months ago
Examining the robustness of sensor-based statistical models of human interruptibility
Current systems often create socially awkward interruptions or unduly demand attention because they have no way of knowing if a person is busy and should not be interrupted. Previ...
James Fogarty, Scott E. Hudson, Jennifer Lai
HICSS
2010
IEEE
225views Biometrics» more  HICSS 2010»
14 years 4 months ago
A Comparative Analysis of Professional Forums in the United States Army and Hybrid Communities of Practice in the Civilian Secto
Communities of practice (COPs) have been around since the founding of the first social networks many millennia ago. Organizations around the world over the last two decades have l...
Jon Brickey, Steven Walczak
MM
2005
ACM
140views Multimedia» more  MM 2005»
14 years 3 months ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 10 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 3 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl