265 search results - page 36 / 53 » Learning with Kernels and Logical Representations |
ATAL
2006
Springer
14 years 2 months ago
2006
Springer
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
DLOG
2011
13 years 2 months ago
2011
Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
ICDAR
2009
IEEE
14 years 5 months ago
2009
IEEE
In this paper, we make an attempt to use Inductive Logic Programming (ILP) to automatically learn non trivial descriptions of symbols, based on a formal description. This work is ...
EVOW
1994
Springer
14 years 3 months ago
1994
Springer
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
ILP
2007
Springer
14 years 5 months ago
2007
Springer
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...