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» Rational Decision Making With Imprecise Probabilities
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COLT
2007
Springer
13 years 11 months ago
Observational Learning in Random Networks
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
Julian Lorenz, Martin Marciniszyn, Angelika Steger
JCIT
2010
148views more  JCIT 2010»
13 years 2 days ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
HICSS
2009
IEEE
128views Biometrics» more  HICSS 2009»
13 years 9 months ago
Cyber Security Risks Assessment with Bayesian Defense Graphs and Architectural Models
To facilitate rational decision making regarding cyber security investments, decision makers need to be able to assess expected losses before and after potential investments. This...
Teodor Sommestad, Mathias Ekstedt, Pontus Johnson
JMLR
2006
117views more  JMLR 2006»
13 years 5 months ago
On the Complexity of Learning Lexicographic Strategies
Fast and frugal heuristics are well studied models of bounded rationality. Psychological research has proposed the take-the-best heuristic as a successful strategy in decision mak...
Michael Schmitt, Laura Martignon
MANSCI
2010
105views more  MANSCI 2010»
13 years 3 months ago
Revenue Management with Strategic Customers: Last-Minute Selling and Opaque Selling
Companies in a variety of industries (e.g., airlines, hotels, theaters) often use last-minute sales to dispose of unsold capacity. Although this may generate incremental revenues ...
Kinshuk Jerath, Serguei Netessine, Senthil K. Veer...