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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 10 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
AAAI
2010
13 years 9 months ago
Recognizing Multi-Agent Activities from GPS Data
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
Adam Sadilek, Henry A. Kautz
ASPDAC
2008
ACM
119views Hardware» more  ASPDAC 2008»
13 years 9 months ago
A stochastic local hot spot alerting technique
- With the increasing levels of variability in the behavior of manufactured nano-scale devices and dramatic changes in the power density on a chip, timely identification of hot spo...
Hwisung Jung, Massoud Pedram
UAI
2003
13 years 9 months ago
Marginalizing Out Future Passengers in Group Elevator Control
Group elevator scheduling is an NP-hard sequential decision-making problem with unbounded state spaces and substantial uncertainty. Decision-theoretic reasoning plays a surprising...
Daniel Nikovski, Matthew Brand
GCB
2009
Springer
180views Biometrics» more  GCB 2009»
14 years 2 months ago
2D Projections of RNA Folding Landscapes
Abstract: The analysis of RNA folding landscapes yields insights into the kinetic folding behavior not available from classical structure prediction methods. This is especially imp...
Ronny Lorenz, Christoph Flamm, Ivo L. Hofacker