Exploiting Contextual Independence In Probabilistic Inference
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[1] Umberto Bertelè,et al. Nonserial Dynamic Programming , 1972 .
[2] David J. Spiegelhalter,et al. Local computations with probabilities on graphical structures and their application to expert systems , 1990 .
[3] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[4] Ross D. Shachter,et al. Symbolic Probabilistic Inference in Belief Networks , 1990, AAAI.
[5] Uue Kjjrull. Triangulation of Graphs { Algorithms Giving Small Total State Space Triangulation of Graphs { Algorithms Giving Small Total State Space , 1990 .
[6] Steffen L. Lauritzen,et al. Bayesian updating in causal probabilistic networks by local computations , 1990 .
[7] Radford M. Neal. Connectionist Learning of Belief Networks , 1992, Artif. Intell..
[8] James E. Smith,et al. Structuring Conditional Relationships in Influence Diagrams , 1993, Oper. Res..
[9] R. Martin Chavez,et al. Approximating Probabilistic Inference in Bayesian Belief Networks , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Michael Luby,et al. Approximating Probabilistic Inference in Bayesian Belief Networks is NP-Hard , 1993, Artif. Intell..
[11] David Poole,et al. Probabilistic Horn Abduction and Bayesian Networks , 1993, Artif. Intell..
[12] David Heckerman,et al. A New Look at Causal Independence , 1994, UAI.
[13] Nevin L. Zhang,et al. A simple approach to Bayesian network computations , 1994 .
[14] David Poole,et al. Exploiting the Rule Structure for Decision Making within the Independent Choice Logic , 1995, UAI.
[15] Bruce D'Ambrosio,et al. Local expression languages for probabilistic dependence , 1995, Int. J. Approx. Reason..
[16] Adnan Darwiche,et al. Conditioning Algorithms for Exact and Approximate Inference in Causal Networks , 1995, UAI.
[17] Craig Boutilier,et al. Exploiting Structure in Policy Construction , 1995, IJCAI.
[18] Michael I. Jordan,et al. Mean Field Theory for Sigmoid Belief Networks , 1996, J. Artif. Intell. Res..
[19] David Heckerman,et al. Knowledge Representation and Inference in Similarity Networks and Bayesian Multinets , 1996, Artif. Intell..
[20] Nevin Lianwen Zhang,et al. Exploiting Causal Independence in Bayesian Network Inference , 1996, J. Artif. Intell. Res..
[21] Craig Boutilier,et al. Context-Specific Independence in Bayesian Networks , 1996, UAI.
[22] Francisco Javier Díez,et al. Local Conditioning in Bayesian Networks , 1996, Artif. Intell..
[23] Dan Geiger,et al. A sufficiently fast algorithm for finding close to optimal junction trees , 1996, UAI.
[24] Nir Friedman,et al. Learning Bayesian Networks with Local Structure , 1996, UAI.
[25] Rina Dechter,et al. Bucket elimination: A unifying framework for probabilistic inference , 1996, UAI.
[26] Craig Boutilier,et al. Correlated Action Effects in Decision Theoretic Regression , 1997, UAI.
[27] Craig Boutilier,et al. Abstraction and Approximate Decision-Theoretic Planning , 1997, Artif. Intell..
[28] David Maxwell Chickering,et al. A Bayesian Approach to Learning Bayesian Networks with Local Structure , 1997, UAI.
[29] David Poole,et al. Probabilistic Partial Evaluation: Exploiting Rule Structure in Probabilistic Inference , 1997, IJCAI.
[30] David Poole,et al. Context-specific approximation in probabilistic inference , 1998, UAI.
[31] Nevin Lianwen Zhang,et al. On the Role of Context-Specific Independence in Probabilistic Inference , 1999, IJCAI.
[32] Shobha Venkataraman,et al. Context-specific multiagent coordination and planning with factored MDPs , 2002, AAAI/IAAI.
[33] Nevin Lianwen Zhang,et al. Inference in Bayesian Networks: The Role of Context-Specific Independence , 2002, Int. J. Inf. Technol. Decis. Mak..
[34] L. Tung. A clique tree algorithm exploiting context specific independence , 2002 .