354 search results - page 31 / 71 » Estimating random variables from random sparse observations |
KDD
2008
ACM
14 years 9 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
IPSN
2004
Springer
14 years 2 months ago
2004
Springer
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
HIS
2003
13 years 10 months ago
2003
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
IROS
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— Autonomous estimation of the altitude of an Unmanned Aerial Vehicle (UAV) is extremely important when dealing with flight maneuvers like landing, steady flight, etc. ...