158 search results - page 16 / 32 » Community Learning by Graph Approximation |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
GG
2008
Springer
14 years 11 months ago
2008
Springer
This event is the second instance of the contest for graph transformation-based tools, which was first held as part of the AGTIVE workshop. The aim is to stimulate tool developmen...
COLT
2004
Springer
15 years 3 months ago
2004
Springer
: We introduce a graph-theoretic generalization of classical Arrow-Debreu economics, in which an undirected graph specifies which consumers or economies are permitted to engage in...
IPPS
2008
IEEE
15 years 4 months ago
2008
IEEE
We present SNAP (Small-world Network Analysis and Partitioning), an open-source graph framework for exploratory study and partitioning of large-scale networks. To illustrate the c...
JUCS
2007
14 years 9 months ago
2007
Abstract: Classification-based reinforcement learning (RL) methods have recently been proposed as an alternative to the traditional value-function based methods. These methods use...