603 search results - page 39 / 121 » A theory of learning from different domains |
ML
2006
ACM
14 years 10 months ago
2006
ACM
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. A common way to measure performance in these domains is to use precision and recall i...
TNN
1998
14 years 9 months ago
1998
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
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SIGECOM
2011
ACM
14 years 24 days ago
2011
ACM
In many settings, a group of agents must come to a joint decision on multiple issues. In practice, this is often done by voting on the issues in sequence. In this paper, we model ...
HIS
2008
14 years 11 months ago
2008
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
ILP
2007
Springer
15 years 4 months ago
2007
Springer
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...