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» Probabilistic Inductive Logic Programming
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DAGSTUHL
2003
13 years 10 months ago
Logical Languages for Data Mining
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
Fosca Giannotti, Giuseppe Manco, Jef Wijsen
ILP
1998
Springer
14 years 1 months ago
Strongly Typed Inductive Concept Learning
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...
Peter A. Flach, Christophe G. Giraud-Carrier, John...
ICFP
2005
ACM
14 years 8 months ago
Monadic augment and generalised short cut fusion
Monads are commonplace programming devices that are used to uniformly structure computations with effects such as state, exceptions, and I/O. This paper further develops the monad...
Neil Ghani, Patricia Johann, Tarmo Uustalu, Varmo ...
AAMAS
2011
Springer
13 years 12 days ago
Declarative programming for agent applications
This paper introduces the execution model of a declarative programming language intended for agent applications. Features supported by the language include functional and logic pro...
John W. Lloyd, Kee Siong Ng
ILP
2007
Springer
14 years 2 months ago
Relational Macros for Transfer in Reinforcement Learning
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...