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ICML
2003
IEEE
16 years 4 months ago
Learning Mixture Models with the Latent Maximum Entropy Principle
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin...
ICRA
2008
IEEE
119views Robotics» more  ICRA 2008»
15 years 9 months ago
Maximum likelihood estimation of sensor and action model functions on a mobile robot
— In order for a mobile robot to accurately interpret its sensations and predict the effects of its actions, it must have accurate models of its sensors and actuators. These mode...
Daniel Stronger, Peter Stone
94
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IPSN
2007
Springer
15 years 9 months ago
Improving wireless simulation through noise modeling
We propose modeling environmental noise in order to efficiently and accurately simulate wireless packet delivery. We measure noise traces in many different environments and propo...
HyungJune Lee, Alberto Cerpa, Philip Levis
GFKL
2005
Springer
101views Data Mining» more  GFKL 2005»
15 years 8 months ago
Discovering Communities in Linked Data by Multi-view Clustering
Abstract. We consider the problem of finding communities in large linked networks such as web structures or citation networks. We review similarity measures for linked objects and...
Isabel Drost, Steffen Bickel, Tobias Scheffer
INEX
2005
Springer
15 years 8 months ago
Parameter Estimation for a Simple Hierarchical Generative Model for XML Retrieval
Abstract. This paper explores the possibility of using a modified Expectation-Maximization algorithm to estimate parameters for a simple hierarchical generative model for XML retr...
Paul Ogilvie, Jamie Callan