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CORR
2011
Springer
230views Education» more  CORR 2011»
14 years 11 months ago
Computational Rationalization: The Inverse Equilibrium Problem
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
Kevin Waugh, Brian Ziebart, J. Andrew Bagnell
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 10 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 5 months ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
CIA
2004
Springer
15 years 10 months ago
Reasoning About Communication - A Practical Approach Based on Empirical Semantics
Given a specification of communication rules in a multiagent system (in the form of protocols, ACL semantics, etc.), the question of how to design appropriate agents that can oper...
Felix A. Fischer, Michael Rovatsos
CORR
2011
Springer
204views Education» more  CORR 2011»
14 years 8 months ago
Decentralized Supply Chain Formation: A Market Protocol and Competitive Equilibrium Analysis
Supply chain formation is the process of determining the structure and terms of exchange relationships to enable a multilevel, multiagent production activity. We present a simple ...
William E. Walsh, Michael P. Wellman