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TACAS
2007
Springer
99views Algorithms» more  TACAS 2007»
15 years 10 months ago
"Don't Care" Modeling: A Logical Framework for Developing Predictive System Models
Analysis of biological data often requires an understanding of components of pathways and/or networks and their mutual dependency relationships. Such systems are often analyzed and...
Hillel Kugler, Amir Pnueli, Michael J. Stern, E. J...
KDD
2004
ACM
198views Data Mining» more  KDD 2004»
15 years 9 months ago
Mining traffic data from probe-car system for travel time prediction
We are developing a technique to predict travel time of a vehicle for an objective road section, based on real time traffic data collected through a probe-car system. In the area ...
Takayuki Nakata, Jun-ichi Takeuchi
SIGMETRICS
2003
ACM
199views Hardware» more  SIGMETRICS 2003»
15 years 9 months ago
Data cache locking for higher program predictability
Caches have become increasingly important with the widening gap between main memory and processor speeds. However, they are a source of unpredictability due to their characteristi...
Xavier Vera, Björn Lisper, Jingling Xue
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 8 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
SIGCOMM
2010
ACM
15 years 4 months ago
Predictable 802.11 packet delivery from wireless channel measurements
RSSI is known to be a fickle indicator of whether a wireless link will work, for many reasons. This greatly complicates operation because it requires testing and adaptation to fin...
Daniel Halperin, Wenjun Hu, Anmol Sheth, David Wet...