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» Distributed Information Regularization on Graphs
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CIKM
2010
Springer
14 years 9 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
88
Voted
CONCUR
2001
Springer
15 years 4 months ago
A Static Analysis Technique for Graph Transformation Systems
In this paper we introduce a static analysis technique for graph transformation systems. We present an algorithm which, given a graph transformation system and a start graph, produ...
Paolo Baldan, Andrea Corradini, Barbara König
128
Voted
SAC
2010
ACM
15 years 7 months ago
Spanders: distributed spanning expanders
We consider self-stabilizing and self-organizing distributed construction of a spanner that forms an expander. The following results are presented. • A randomized technique to r...
Shlomi Dolev, Nir Tzachar
92
Voted
SEMWEB
2005
Springer
15 years 5 months ago
A Strategy for Automated Meaning Negotiation in Distributed Information Retrieval
The paper reports on the formal framework to design strategies for multi-issue non-symmetric meaning negotiations among software agents in a distributed information retrieval syste...
Vadim Ermolayev, Natalya Keberle, Wolf-Ekkehard Ma...
NIPS
2008
15 years 1 months ago
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Kernel supervised learning methods can be unified by utilizing the tools from regularization theory. The duality between regularization and prior leads to interpreting regularizat...
Zhihua Zhang, Michael I. Jordan, Dit-Yan Yeung