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» Higher order learning with graphs
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ICML
2007
IEEE
14 years 8 months ago
Learning from interpretations: a rooted kernel for ordered hypergraphs
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...
Gabriel Wachman, Roni Khardon
ICEIS
2009
IEEE
14 years 2 months ago
Graph Structure Learning for Task Ordering
Yiming Yang, Abhimanyu Lad, Henry Shu, Bryan Kisie...
ECML
1998
Springer
13 years 11 months ago
First-Order Learning for Web Mining
We present compelling evidence that the World Wide Web is a domain in which applications can benefit from using first-order learning methods, since the graph structure inherent in ...
Mark Craven, Seán Slattery, Kamal Nigam
HT
2007
ACM
13 years 11 months ago
Toward interactive learning by concept ordering
In this paper we present a visual education tool for efficient and effective learning. The toolkit is based on a simple premise: simple concepts should be learned before advanced ...
Shantanu Godbole, Sachindra Joshi, Sameep Mehta, G...
COMGEO
2011
ACM
13 years 2 months ago
On crossing numbers of geometric proximity graphs
Let P be a set of n points in the plane. A geometric proximity graph on P is a graph where two points are connected by a straight-line segment if they satisfy some prescribed prox...
Bernardo M. Ábrego, Ruy Fabila Monroy, Silv...