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PKDD
2007
Springer
146views Data Mining» more  PKDD 2007»
14 years 2 months ago
A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions
This paper presents a novel method for multi-relational classification via an aggregation-based Inductive Logic Programming (ILP) approach. We extend the classical ILP representati...
Richard Frank, Flavia Moser, Martin Ester
PPDP
2007
Springer
14 years 2 months ago
Higher-order semantic labelling for inductive datatype systems
We give a novel transformation for proving termination of higher-order rewrite systems in the format of Inductive Data Type Systems (IDTSs) by Blanqui, Jouannaud and Okada. The tr...
Makoto Hamana
EPIA
2009
Springer
14 years 2 months ago
An ILP System for Learning Head Output Connected Predicates
Inductive Logic Programming (ILP) [1] systems are general purpose learners that have had significant success on solving a number of relational problems, particularly from the biol...
José Carlos Almeida Santos, Alireza Tamaddo...
ILP
2007
Springer
14 years 2 months ago
Learning with Kernels and Logical Representations
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
Paolo Frasconi
FCT
2007
Springer
14 years 2 months ago
Rewriting Systems with Data
Abstract. We introduce a uniform framework for reasoning about infinitestate systems with unbounded control structures and unbounded data domains. Our framework is based on constr...
Ahmed Bouajjani, Peter Habermehl, Yan Jurski, Miha...