296 search results - page 4 / 60 » How to process uncertainty in machine learning |
ICMLA
2007
13 years 10 months ago
2007
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
IAT
2009
IEEE
14 years 3 months ago
2009
IEEE
—We describe the design of an autonomous agent that can teach itself how to translate from a foreign language, by first assembling its own training set, then using it to improve...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Classical planning domain representations assume all the objects from one type are exactly the same. But when solving problems in the real world systems, the execution of...
CIKM
2005
Springer
14 years 2 months ago
2005
Springer
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
ATAL
2007
Springer
14 years 2 months ago
2007
Springer
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...