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» Learning Application Models for Utility Resource Planning
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138
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UMUAI
1998
157views more  UMUAI 1998»
15 years 1 months ago
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
David W. Albrecht, Ingrid Zukerman, Ann E. Nichols...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 2 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
129
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SASO
2007
IEEE
15 years 8 months ago
Leveraging Resource Prediction for Anticipatory Dynamic Configuration
Self-adapting systems based on multiple concurrent applications must decide how to allocate scarce resources to applications and how to set the quality parameters of each applicat...
Vahe Poladian, David Garlan, Mary Shaw, M. Satyana...
132
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COMCOM
2004
94views more  COMCOM 2004»
15 years 1 months ago
An economic model for the radio resource management in multimedia wireless systems
In this paper, we study the connection between Radio Resource Management and economic parameters, whose application in multimedia communication system is a challenging task. In fa...
Leonardo Badia, Magnus Lindström, Jens Zander...
PAMI
2006
143views more  PAMI 2006»
15 years 1 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin