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137
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CBMS
2006
IEEE
15 years 9 months ago
2006
IEEE
The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...
115
Voted
ECSQARU
2005
Springer
15 years 9 months ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
123
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DIAGRAMS
2004
Springer
15 years 9 months ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
129
Voted
ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...
118
Voted
ICALT
2003
IEEE
15 years 9 months ago
2003
IEEE
Learning Objects Metadata describing educational resources in order to allow better reusability and retrieval. Unfortunately, annotating complete courses thoroughly with LOM metad...