463 search results - page 38 / 93 » Induction in Noisy Domains |
SSPR
1998
Springer
15 years 4 months ago
1998
Springer
Properly addressing the discretization process of continuos valued features is an important problem during decision tree learning. This paper describes four multi-interval discreti...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Signals in response to time-localized events of a common phenomenon tend to exhibit a common shape, but with variable time scale, amplitude, and delay across trials in many domain...
159
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ILP
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
110
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ILP
2003
Springer
15 years 5 months ago
2003
Springer
We believe that AI programs written for discovery tasks will need to simultaneously employ a variety of reasoning techniques such as induction, abduction, deduction, calculation an...
ECML
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...