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» An Information-Based Theory of Conditionals
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AI
2002
Springer
14 years 11 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
HT
2005
ACM
15 years 5 months ago
Parsing and interpreting ambiguous structures in spatial hypermedia
When reflecting on information, spatial hypermedia users express their understanding of the information’s structure visually. In order to facilitate this process, spatial hyperm...
Luis Francisco-Revilla, Frank M. Shipman III
AGI
2011
14 years 3 months ago
Three Hypotheses about the Geometry of Mind
What set of concepts and formalizations might one use to make a practically useful, theoretically rigorous theory of generally intelligent systems? We present a novel perspective m...
Ben Goertzel, Matthew Iklé
SIGMETRICS
2010
ACM
152views Hardware» more  SIGMETRICS 2010»
14 years 10 months ago
A fluid approximation for large-scale service systems
We introduce and analyze a deterministic fluid model that serves as an approximation for the Gt/GI/st + GI manyserver queueing model, which has a general time-varying arrival pro...
Yunan Liu, Ward Whitt
ICASSP
2009
IEEE
15 years 6 months ago
Optimal parameter estimation for model-based quantization
We address optimal model estimation for model-based vector quantization for both the constrained resolution (CR) and constrained entropy (CE) cases. To this purpose we derive unde...
Alexey Ozerov, W. Bastiaan Kleijn