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NIPS
2007
14 years 11 months ago
A Game-Theoretic Approach to Apprenticeship Learning
We study the problem of an apprentice learning to behave in an environment with an unknown reward function by observing the behavior of an expert. We follow on the work of Abbeel ...
Umar Syed, Robert E. Schapire
65
Voted
CBMS
2007
IEEE
15 years 4 months ago
Increasing Acceptability of Decision Trees with Domain Attributes Partial Orders
There are several domains, such as health-care, in which the decision process usually has a background knowledge that must be considered. We need to maximize the accuracy of the m...
Joan Albert López-Vallverdú, David R...
CVPR
2007
IEEE
16 years 6 days ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
79
Voted
ICCBR
2007
Springer
15 years 4 months ago
Failure Analysis for Domain Knowledge Acquisition in a Knowledge-Intensive CBR System
A knowledge-intensive case-based reasoning system has profit of the domain knowledge, together with the case base. Therefore, acquiring new pieces of domain knowledge should impro...
Amélie Cordier, Béatrice Fuchs, Jean...
TREC
2007
14 years 11 months ago
Interactive Retrieval Using Weights
Using the same interactive IR component as for TREC 2006, this submission probed the ability of a user without requisite domain knowledge to interactively set appropriate weights....
Jonathan Schuman, Sabine Bergler