42 search results - page 5 / 9 » Condensed Representations for Inductive Logic Programming |
AIIA
2005
Springer
14 years 27 days ago
2005
Springer
Machine Learning systems are often distinguished according to the kind of representation they use, which can be either propositional or first-order logic. The framework working wi...
EVOW
1994
Springer
13 years 11 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...
JMLR
2006
13 years 7 months ago
2006
We develop kernels for measuring the similarity between relational instances using background knowledge expressed in first-order logic. The method allows us to bridge the gap betw...
IDA
2005
Springer
14 years 26 days ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
ILP
1998
Springer
13 years 11 months ago
1998
Springer
In this paper we argue that the use of a language with a type system, together with higher-order facilities and functions, provides a suitable basis for knowledge representation in...