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ICML
2007
IEEE
15 years 10 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
HYBRID
2010
Springer
15 years 4 months ago
On integration of event-based estimation and robust MPC in a feedback loop
The main purpose of event-based control, if compared to periodic control, is to minimize data transfer or processing power in networked control systems. Current methods have an (i...
Joris Sijs, Mircea Lazar, W. P. M. H. Heemels
AINA
2008
IEEE
15 years 4 months ago
A Map Matching Algorithm for Car Navigation Systems that Predict User Destination
In this paper, we propose a map matching algorithm for car navigation systems that predict user destination. This car navigation system is a novel system that automatically predict...
Koichi Miyashita, Tsutomu Terada, Shojiro Nishio
ICDCSW
2007
IEEE
15 years 4 months ago
Context to Make You More Aware
The goal of our work is to help users make more informed choices about what physical activities they undertake. One example is to provide relevant information to help someone choo...
Adrienne H. Andrew, Yaw Anokwa, Karl Koscher, Jona...
PERCOM
2011
ACM
14 years 5 months ago
AnonySense: A system for anonymous opportunistic sensing
We describe AnonySense, a privacy-aware system for realizing pervasive applications based on collaborative, opportunistic sensing by personal mobile devices. AnonySense allows app...
Minho Shin, Cory Cornelius, Daniel Peebles, Apu Ka...