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» Learning Dynamic Bayesian Networks
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ICMCS
2005
IEEE
113views Multimedia» more  ICMCS 2005»
14 years 4 months ago
Network-Adaptive Frame-Expansion-Based Packet Video Coding for Erasure Channels
This paper proposes a novel error-resilient packet video coding method which is designed to operate on unreliable IP networks suffering from large bursts of packet losses. The mai...
Andrew G. Backhouse, Irene Y. H. Gu
VLDB
2006
ACM
162views Database» more  VLDB 2006»
14 years 11 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore
MLDM
2009
Springer
14 years 5 months ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
AUSAI
2005
Springer
14 years 4 months ago
Ensemble Selection for SuperParent-One-Dependence Estimators
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey ...
DALT
2005
Springer
14 years 4 months ago
An Architecture for Rational Agents
Abstract. This paper is concerned with designing architectures for rational agents. In the proposed architecture, agents have belief bases that are theories in a multi-modal, highe...
John W. Lloyd, Tim D. Sears