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ICML
2002
IEEE
15 years 10 months ago
Diffusion Kernels on Graphs and Other Discrete Input Spaces
The application of kernel-based learning algorithms has, so far, largely been confined to realvalued data and a few special data types, such as strings. In this paper we propose a...
Risi Imre Kondor, John D. Lafferty
ALT
2008
Springer
15 years 6 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster
CSCWD
2007
Springer
15 years 4 months ago
An interactive graph visualization for handling cooperative design activity context
The context of a collective activity is characterized by all information produced during the activity. The comprehension of this context by each actor is essential for the success...
Gilles Halin
SPAA
1990
ACM
15 years 1 months ago
Low Overhead Parallel Schedules for Task Graphs
d Abstract) Richard J. Anderson Paul Beame Walter L. Ruzzo Department of Computer Science and Engineering University of Washingtoni We introduce a task scheduling model which is u...
Richard J. Anderson, Paul Beame, Walter L. Ruzzo
ECML
2007
Springer
15 years 4 months ago
Graph-Based Domain Mapping for Transfer Learning in General Games
A general game player is an agent capable of taking as input a description of a game’s rules in a formal language and proceeding to play without any subsequent human input. To do...
Gregory Kuhlmann, Peter Stone