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» Distributed Information Regularization on Graphs
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116
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KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 27 days ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
105
Voted
INFOCOM
2006
IEEE
15 years 6 months ago
Landmark-Based Information Storage and Retrieval in Sensor Networks
— For a wide variety of sensor network environments, location information is unavailable or expensive to obtain. We propose a location-free, lightweight, distributed, and data-ce...
Qing Fang, Jie Gao, Leonidas J. Guibas
CONCUR
2006
Springer
15 years 2 months ago
Inference of Event-Recording Automata Using Timed Decision Trees
In regular inference, the problem is to infer a regular language, typically represented by a deterministic finite automaton (DFA) from answers to a finite set of membership querie...
Olga Grinchtein, Bengt Jonsson, Paul Pettersson
80
Voted
BMCBI
2007
115views more  BMCBI 2007»
15 years 15 days ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
EUROPAR
2009
Springer
15 years 5 months ago
Capturing and Visualizing Event Flow Graphs of MPI Applications
A high-level understanding of how an application executes and which performance characteristics it exhibits is essential in many areas of high performance computing, such as applic...
Karl Fürlinger, David Skinner