Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

14

MLG
2007
Springer

favoriteEmaildiscussreport

169views Machine Learning» more MLG 2007»

Graphs, Hypergraphs, and Inductive Logic Programming

13 years 10 months ago

Graphs, Hypergraphs, and Inductive Logic Programming

Download mlg07.dsi.unifi.it

Abstract. There are many connections between graph mining and inductive logic programming (ILP), or more generally relational learning. Up till now these connections have mostly been described or exploited in an informal way. A more careful and formal study of them may lead to new insights in the relationships between the diﬀerent learning formalisms, and possibly new methods for solving certain problems that rely on translating problems or algorithms from one setting to another. In this paper we initiate an investigation into this.

Hendrik Blockeel, Tijn Witsenburg, Joost N. Kok

Real-time Traffic

Diﬀerent Learning Formalisms | Graph Mining | Inductive Logic Programming | Machine Learning | MLG 2007 |

claim paper

Related Content

» Learning from interpretations a rooted kernel for ordered hypergraphs

» The Parallelization of a Knowledge Discovery System with Hypergraph Representation

» From a Zoo to a Zoology Towards a General Theory of Graph Polynomials

» Sharp thresholds for hypergraph regressive Ramsey numbers

» Support Vector Inductive Logic Programming

» Mathematical applications of inductive logic programming

» GraphBased Concept Learning

» Spatial Logics for Bigraphs

» A simple inductive synthesis methodology and its applications

Post Info
More Details (n/a)

Added	08 Jun 2010
Updated	08 Jun 2010
Type	Conference
Year	2007
Where	MLG
Authors	Hendrik Blockeel, Tijn Witsenburg, Joost N. Kok

Comments (0)