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» On the Foundations of Expected Expected Utility
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NIPS
2007
15 years 1 months ago
Anytime Induction of Cost-sensitive Trees
Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...
Saher Esmeir, Shaul Markovitch
AAAI
2004
15 years 1 months ago
Performance Bounded Reinforcement Learning in Strategic Interactions
Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeably lacking. T...
Bikramjit Banerjee, Jing Peng
AAAI
2006
15 years 1 months ago
Anytime Induction of Decision Trees: An Iterative Improvement Approach
Most existing decision tree inducers are very fast due to their greedy approach. In many real-life applications, however, we are willing to allocate more time to get better decisi...
Saher Esmeir, Shaul Markovitch
ACL
2004
15 years 1 months ago
Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features
This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic...
Jinying Chen, Martha Stone Palmer
AAAI
2006
15 years 1 months ago
Overconfidence or Paranoia? Search in Imperfect-Information Games
We derive a recursive formula for expected utility values in imperfect- information game trees, and an imperfectinformation game tree search algorithm based on it. The formula and...
Austin Parker, Dana S. Nau, V. S. Subrahmanian