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ECAI
2000
Springer
15 years 10 months ago
Achieving Coordination through Combining Joint Planning and Joint Learning
There are two major approaches to activity coordination in multiagent systems. First, by endowing the agents with the capability to jointly plan, that is, to jointly generate hypot...
Gerhard Weiss
ATAL
2010
Springer
15 years 7 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
ISWC
2006
IEEE
16 years 9 days ago
Discovering Characteristic Actions from On-Body Sensor Data
We present an approach to activity discovery, the unsupervised identification and modeling of human actions embedded in a larger sensor stream. Activity discovery can be seen as ...
David Minnen, Thad Starner, Irfan A. Essa, Charles...
IEEECIT
2007
IEEE
16 years 18 days ago
Ensembles of Region Based Classifiers
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
Sungha Choi, Byungwoo Lee, Jihoon Yang
MOBICOM
2006
ACM
16 years 8 days ago
Analysis and implications of student contact patterns derived from campus schedules
Characterizing mobility or contact patterns in a campus environment is of interest for a variety of reasons. Existing studies of these patterns can be classified into two basic a...
Vikram Srinivasan, Mehul Motani, Wei Tsang Ooi