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» Model Uncertainty in Classical Conditioning
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ICASSP
2009
IEEE
14 years 2 months ago
Maximum-likelihood estimation of autoregressive models with conditional independence constraints
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberg...
JSW
2010
83views more  JSW 2010»
13 years 6 months ago
Estimating Model Parameters of Conditioned Soils by using Artificial Network
—The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function represen...
Zichang Shangguan, Shouju Li, Wei Sun, Maotian Lua...
ENTCS
2006
181views more  ENTCS 2006»
13 years 8 months ago
Conditional Doxastic Models: A Qualitative Approach to Dynamic Belief Revision
In this paper, we present a semantical approach to multi-agent belief revision and belief update. For this, we introduce relational structures called conditional doxastic models (...
Alexandru Baltag, Sonja Smets
ICCV
2003
IEEE
14 years 10 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
PVLDB
2010
134views more  PVLDB 2010»
13 years 6 months ago
Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...
Thanh T. L. Tran, Andrew McGregor, Yanlei Diao, Li...