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IDEAL
2000
Springer
15 years 10 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
JIISIC
2001
15 years 8 months ago
Knowledge Component of a Multiagent Distributed Decision Support System
We have developed a distributed DSS capable to working in a dynamic way. That is, when a domain of an organization needs a new kind of information, the system looks for this infor...
Georgina Stegmayer, María Laura Caliusco, O...
AAAI
2000
15 years 8 months ago
Making Rational Decisions Using Adaptive Utility Elicitation
Rational decision making requires full knowledge of the utility function of the person affected by the decisions. However, in many cases, the task of acquiring such knowledge is n...
Urszula Chajewska, Daphne Koller, Ronald Parr
ATAL
2009
Springer
16 years 1 months ago
Multiagent learning in large anonymous games
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ...
Ian A. Kash, Eric J. Friedman, Joseph Y. Halpern
SIGECOM
2009
ACM
139views ECommerce» more  SIGECOM 2009»
16 years 1 months ago
Simple versus optimal mechanisms
The monopolist’s theory of optimal single-item auctions for agents with independent private values can be summarized by two statements. The first is from Myerson [8]: the optim...
Jason D. Hartline, Tim Roughgarden