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» Decision making in very large networks
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NIPS
2007
13 years 10 months ago
Computing Robust Counter-Strategies
Adaptation to other initially unknown agents often requires computing an effective counter-strategy. In the Bayesian paradigm, one must find a good counterstrategy to the inferre...
Michael Johanson, Martin Zinkevich, Michael H. Bow...
FOIKS
2006
Springer
14 years 11 days ago
Reasoning Support for Expressive Ontology Languages Using a Theorem Prover
It is claimed in [45] that first-order theorem provers are not efficient for reasoning with ontologies based on description logics compared to specialised description logic reasone...
Ian Horrocks, Andrei Voronkov
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 9 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
SIGCOMM
2006
ACM
14 years 2 months ago
Building an AS-topology model that captures route diversity
An understanding of the topological structure of the Internet is needed for quite a number of networking tasks, e.g., making decisions about peering relationships, choice of upstr...
Wolfgang Mühlbauer, Anja Feldmann, Olaf Maenn...
HICSS
2003
IEEE
193views Biometrics» more  HICSS 2003»
14 years 2 months ago
Message Sense Maker: Engineering a Tool Set for Customer Relationship Management
To determine the important trends and issues in thousands of comments from customers and make strategic decisions about business operations, managers must go over these messages m...
Dmitri Roussinov, J. Leon Zhao