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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 10 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
CHI
2006
ACM
14 years 10 months ago
Responsiveness in instant messaging: predictive models supporting inter-personal communication
For the majority of us, inter-personal communication is an essential part of our daily lives. Instant Messaging, or IM, has been growing in popularity for personal and workrelated...
Daniel Avrahami, Scott E. Hudson
STOC
2007
ACM
146views Algorithms» more  STOC 2007»
14 years 10 months ago
Playing games with approximation algorithms
In an online linear optimization problem, on each period t, an online algorithm chooses st S from a fixed (possibly infinite) set S of feasible decisions. Nature (who may be adve...
Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett
SIGMOD
2009
ACM
171views Database» more  SIGMOD 2009»
14 years 10 months ago
GAMPS: compressing multi sensor data by grouping and amplitude scaling
We consider the problem of collectively approximating a set of sensor signals using the least amount of space so that any individual signal can be efficiently reconstructed within...
Sorabh Gandhi, Suman Nath, Subhash Suri, Jie Liu
MOBISYS
2008
ACM
14 years 9 months ago
Composcan: adaptive scanning for efficient concurrent communications and positioning with 802.11
Using 802.11 concurrently for communications and positioning is problematic, especially if location-based services (e.g., indoor navigation) are concurrently executed with real-ti...
Mikkel Baun Kjærgaard, Thomas King