B. D'Ambrosio

发表

Symbolic Probabilistic Inference in Large BN20 Networks

Bruce D'Ambrosio, B. D'Ambrosio, 1994, UAI.

Qualitative Process Theory Using Linguistic Variables

B. D'Ambrosio, Bruce D'Ambrosio, 1989, Symbolic Computation.

KI-LEARN: Knowledge-Intensive Learning Methods for Knowledge-Rich/Data-Poor Domains

Thomas G. Dietterich, Alan Fern, Jianqiang Shen, 2006 .

Incremental Probabilistic Inference pdf

Bruce D'Ambrosio, B. D'Ambrosio, Bruce D'Ambrosio, 1993, UAI.

A partitioned ATMS

B. D'Ambrosio, J. Edwards, 1991, [1991] Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application.

Local expression languages for probabilistic dependence

Bruce D'Ambrosio, B. D'Ambrosio, Bruce D'Ambrosio, 1995, Int. J. Approx. Reason..

POMDP Learning using Qualitative Belief Spaces

B. D'Ambrosio, 1997 .

Real-time value-driven diagnosis

B. D'Ambrosio, Bruce D'Ambrosio, 1994, Defense, Security, and Sensing.

Relational Bayesian models of on-line user behavior

B. D'Ambrosio, Eric Altendorf, Jane Jorgensen CleverSet, 2003 .

Probabilistic Relational Models of On-line User Behavior Early Explorations

B. D'Ambrosio, Eric Altendorf, Jane Jorgensen CleverSet, 2003 .

Redacted for Privacy

B. D'Ambrosio, Zhaoyu Li, Zhaoyu Li, 2013 .

Title : Optimal Inference with Local Expressions

B. D'Ambrosio, A. Thesis, M. Borujerdi, 2022 .

An Introduction to The Consensus Model of Engineering Design Decision Making

B. D'Ambrosio, D. Ullman, 2002 .

Proceedings of the Eighth international conference on Uncertainty in artificial intelligence

Bruce D'Ambrosio, Didier Dubois, Michael P. Wellman, 1992 .

Uncertainty in Artificial Intelligence: proceedingsof the seventh Conference (1991) : july 13-15, 1991 : seventh Conference on Uncertaintyin Artificial Intelligence, University of California at Los Angeles

Piero P. Bonissone, Bruce D'Ambrosio, Philippe Smets, 1991 .

Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence

Piero P. Bonissone, Bruce D'Ambrosio, Philippe Smets, 1994 .

Representations and algorithms for efficient inference in bayesian networks

Bruce D'Ambrosio, Masami Takikawa, B. D'Ambrosio, 1999 .

Autonomous Distributed Systems. Multiple-Level Distributed Data Fusion for Future DADS Using Bayesian Network Technology

Bruce D'Ambrosio, Shozo Mori, Doug Hart, 2002 .

Evaluation and Conclusion

Bruce D'Ambrosio, B. D'Ambrosio, 2002, Legal Issues of Inter-Korean Economic Cooperation under the Armistice System.

Integrating uncertainty into a language for knowledge based systems

Bruce D'Ambrosio, B. D'Ambrosio, 1984, ACM '84.

A Factorized Representation of Independence of Causal Influence and Lazy Propagation

Bruce D'Ambrosio, Anders L. Madsen, A. Madsen, 1999, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Lazy Propagation and Independence of Causal Influence

Bruce D'Ambrosio, Anders L. Madsen, A. Madsen, 1999, ESCQARU.

Inference in Bayesian Networks

Bruce D'Ambrosio, B. D'Ambrosio, 1999, AI Mag..

Algebraic Techniques for E cient Inference in Bayesian Networks

Bruce D'Ambrosio, B. D'Ambrosio, Bruce D'Ambrosio, 1994 .

Real-Time Value-Driven Monitoring and Repair

Bruce D'Ambrosio, B. D'Ambrosio, Bruce D'Ambrosio, 1992 .

Probabilistic Relational Models of On-line User Behavior Early Explorations

B. D'Ambrosio, Eric Altendorf, Jane Jorgensen CleverSet, 2003 .

Ecosystem Analysis Using Probabilistic Relational Modeling

Jane Jorgensen, B. D'Ambrosio, Eric Altendorf, 2003 .

Local Expression Languages for Probabilistic Dependence: a Preliminary Report pdf

Bruce D'Ambrosio, B. D'Ambrosio, 1994, UAI 1994.

Multiplicative Factorization of Noisy-Max

Bruce D'Ambrosio, Masami Takikawa, B. D'Ambrosio, 1999, UAI.

Parallelizing Probabilistic Inference: Some Early Explorations pdf

Zhaoyu Li, Bruce D'Ambrosio, Tony Fountain, 1992, UAI.

Evaluating Bayes nets with concurrent process networks

Bruce D'Ambrosio, Evan Tick, B. D'Ambrosio, 1995, Proceedings of 9th International Parallel Processing Symposium.

Incremental construction and evaluation of defeasible probabilistic models

Bruce D'Ambrosio, B. D'Ambrosio, Bruce D'Ambrosio, 1990, Int. J. Approx. Reason..

Combining symbolic and numeric approaches to uncertainty management

Bruce D'Ambrosio, B. D'Ambrosio, 1987, Int. J. Approx. Reason..

A hybrid approach to reasoning under uncertainty

Bruce D'Ambrosio, B. D'Ambrosio, 1987, Int. J. Approx. Reason..

Application of a Bayesian network to integrated circuit tester diagnosis

Bruce D'Ambrosio, Robert Paasch, Daniel Mittelstadt, 1995, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Extending the mathematics in qualitative process theory

Bruce D'Ambrosio, B. D'Ambrosio, 1987, Int. J. Intell. Syst..

Discovering Spatio‐Temporal Models of the Spread of West Nile Virus

Jane Jorgensen, Jennifer Orme-Zavaleta, B. D'Ambrosio, 2006, Risk analysis : an official publication of the Society for Risk Analysis.

Symbolic Probabilistic Inference in Belief Networks

Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Favero, 1990, AAAI.

Real-Time Inference with Large-Scale Temporal Bayes Nets pdf

Bruce D'Ambrosio, Masami Takikawa, Edward J. Wright, 2002, UAI.

Summer Institute on Probability in AI.

Bruce D'Ambrosio, B. D'Ambrosio, 1994 .

Efficient inference in Bayes networks as a combinatorial optimization problem

Zhaoyu Li, Bruce D'Ambrosio, B. D'Ambrosio, 1994, Int. J. Approx. Reason..