Application of Techniques for MAP Estimation to Distributed Constraint Optimization Problem
暂无分享,去创建一个
[1] Victor R. Lesser,et al. Improved max-sum algorithm for DCOP with n-ary constraints , 2013, AAMAS.
[2] Shlomo Zilberstein,et al. Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation , 2011, UAI.
[3] Milind Tambe,et al. Taking DCOP to the real world: efficient complete solutions for distributed multi-event scheduling , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..
[4] Victor R. Lesser,et al. A Cooperative mediation-based protocol for dynamic distributed resource allocation , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[5] Richard S. Zemel,et al. HOP-MAP: Efficient Message Passing with High Order Potentials , 2010, AISTATS.
[6] Tommi S. Jaakkola,et al. Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations , 2007, NIPS.
[7] Michael I. Jordan,et al. Loopy Belief Propagation for Approximate Inference: An Empirical Study , 1999, UAI.
[8] Weixiong Zhang,et al. Distributed stochastic search and distributed breakout: properties, comparison and applications to constraint optimization problems in sensor networks , 2005, Artif. Intell..
[9] Edmund H. Durfee,et al. Dynamic Prioritization of Complex Agents in Distributed Constraint Satisfaction Problems , 1997, AAAI/IAAI.
[10] Tibério S. Caetano,et al. Exploiting Data-Independence for Fast Belief-Propagation , 2010, ICML.
[11] Victor R. Lesser,et al. Solving distributed constraint optimization problems using cooperative mediation , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..
[12] Federico Pecora,et al. Reasoning about and dynamically posting n-ary constraints in ADOPT , 2006 .
[13] David J. Spiegelhalter,et al. Probabilistic Networks and Expert Systems - Exact Computational Methods for Bayesian Networks , 1999, Information Science and Statistics.
[14] C. Spearman. The proof and measurement of association between two things. , 2015, International journal of epidemiology.
[15] Boi Faltings,et al. PC-DPOP: A New Partial Centralization Algorithm for Distributed Optimization , 2007, IJCAI.
[16] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[17] Milind Tambe,et al. Quality Guarantees on k-Optimal Solutions for Distributed Constraint Optimization Problems , 2007, IJCAI.
[18] Sven Koenig,et al. Trading Off Solution Quality for Faster Computation in DCOP Search Algorithms , 2009, IJCAI.
[19] Milind Tambe,et al. Preprocessing techniques for accelerating the DCOP algorithm ADOPT , 2005, AAMAS '05.
[20] Bryan Horling,et al. Meteorological command and control: an end-to-end architecture for a hazardous weather detection sensor network , 2005, EESR '05.
[21] Rina Dechter,et al. Best-First AND/OR Search for Graphical Models , 2007, AAAI.
[22] X. Jin. Factor graphs and the Sum-Product Algorithm , 2002 .
[23] Sven Koenig,et al. BnB-ADOPT: an asynchronous branch-and-bound DCOP algorithm , 2008, AAMAS.
[24] Bo An,et al. Agent-Based Network Intrusion Detection System , 2007, 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07).
[25] Makoto Yokoo,et al. DCOPs meet the realworld: exploring unknown reward matrices with applications to mobile sensor networks , 2009, IJCAI 2009.
[26] Shlomo Zilberstein,et al. On Message-Passing, MAP Estimation in Graphical Models and DCOPs , 2012 .
[27] William T. Freeman,et al. On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs , 2001, IEEE Trans. Inf. Theory.
[28] Victor R. Lesser,et al. DJAO: A Communication-Constrained DCOP Algorithm that Combines Features of ADOPT and Action-GDL , 2014, AAAI.
[29] Pedro Meseguer,et al. Generalizing ADOPT and BnB-ADOPT , 2011, IJCAI.
[30] Robert J. McEliece,et al. The generalized distributive law , 2000, IEEE Trans. Inf. Theory.
[31] Rina Dechter,et al. AND/OR Search for Marginal MAP , 2014, UAI.
[32] Randall Davis,et al. Negotiation as a Metaphor for Distributed Problem Solving , 1988, Artificial Intelligence.
[33] Nicholas R. Jennings,et al. Bounded approximate decentralised coordination via the max-sum algorithm , 2009, Artif. Intell..
[34] Sarvapali D. Ramchurn,et al. Decentralized Coordination in RoboCup Rescue , 2010, Comput. J..
[35] Boi Faltings,et al. A Scalable Method for Multiagent Constraint Optimization , 2005, IJCAI.
[36] Makoto Yokoo,et al. Adopt: asynchronous distributed constraint optimization with quality guarantees , 2005, Artif. Intell..
[37] Ana L. C. Bazzan,et al. Evaluating the performance of DCOP algorithms in a real world, dynamic problem , 2008, AAMAS.
[38] Pedro Meseguer,et al. Communication-constrained DCOPs: message approximation in GDL with function filtering , 2011, AAMAS.
[39] Tibério S. Caetano,et al. Faster Algorithms for Max-Product Message-Passing , 2011, J. Mach. Learn. Res..
[40] Rina Dechter,et al. AND/OR search spaces for graphical models , 2007, Artif. Intell..
[41] Makoto Yokoo,et al. Distributed constraint satisfaction algorithm for complex local problems , 1998, Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160).
[42] Richard J. Wallace,et al. Enhancements of Branch and Bound Methods for the Maximal Constraint Satisfaction Problem , 1996, AAAI/IAAI, Vol. 1.
[43] Emiliano Lorini,et al. On Binary Max-Sum and Tractable HOPs , 2013, EUMAS 2013.
[44] Roie Zivan,et al. Max/min-sum distributed constraint optimization through value propagation on an alternating DAG , 2012, AAMAS.
[45] Nicholas R. Jennings,et al. Decentralised coordination of low-power embedded devices using the max-sum algorithm , 2008, AAMAS.
[46] Victor R. Lesser,et al. Effective Variants of the Max-Sum Algorithm for Radar Coordination and Scheduling , 2011, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.
[47] Meritxell Vinyals,et al. Divide-and-coordinate: DCOPs by agreement , 2010, AAMAS.
[48] Meritxell Vinyals,et al. Constructing a unifying theory of dynamic programming DCOP algorithms via the generalized distributive law , 2010, Autonomous Agents and Multi-Agent Systems.
[49] Michael Zink,et al. An End-User-Responsive Sensor Network Architecture for Hazardous Weather Detection, Prediction and Response , 2006, AINTEC.
[50] Katsutoshi Hirayama,et al. DeQED: an efficient divide-and-coordinate algorithm for DCOP , 2013, AAMAS.
[51] Milind Tambe,et al. Asynchronous algorithms for approximate distributed constraint optimization with quality bounds , 2010, AAMAS.
[52] Boi Faltings,et al. Superstabilizing, Fault-Containing Distributed Combinatorial Optimization , 2005, AAAI.
[53] Sarvapali D. Ramchurn,et al. Efficient, Superstabilizing Decentralised Optimisation for Dynamic Task Allocation Environments , 2010 .
[54] Sarvapali D. Ramchurn,et al. A Distributed Anytime Algorithm for Dynamic Task Allocation in Multi-Agent Systems , 2011, AAAI.
[55] Boi Faltings,et al. H-DPOP: Using Hard Constraints for Search Space Pruning in DCOP , 2008, AAAI.
[56] Victor R. Lesser,et al. Farm: A Scalable Environment for Multi-agent Development and Evaluation , 2003, SELMAS.
[57] Nicholas R. Jennings,et al. Decentralised Coordination of Mobile Sensors Using the Max-Sum Algorithm , 2009, IJCAI.
[58] Carlos Guestrin,et al. A robust architecture for distributed inference in sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..
[59] Boi Faltings,et al. MB-DPOP: A New Memory-Bounded Algorithm for Distributed Optimization , 2007, IJCAI.
[60] Milind Tambe,et al. Quality guarantees for region optimal DCOP algorithms , 2011, AAMAS.
[61] Victor R. Lesser,et al. Functionally Accurate, Cooperative Distributed Systems , 1988, IEEE Transactions on Systems, Man, and Cybernetics.
[62] Rina Dechter,et al. AND/OR Branch-and-Bound for Graphical Models , 2005, IJCAI.
[63] International Foundation for Autonomous Agents and MultiAgent Systems ( IFAAMAS ) , 2007 .
[64] Nir Friedman,et al. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning , 2009 .