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ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 9 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
CIKM
2011
Springer
14 years 2 months ago
Scalable entity matching computation with materialization
Entity matching (EM) is the task of identifying records that refer to the same real-world entity from different data sources. While EM is widely used in data integration and data...
Sanghoon Lee, Jongwuk Lee, Seung-won Hwang
EDOC
2011
IEEE
14 years 2 months ago
UML Metamodel-based Workflow Modeling and Execution
—In this paper, we present a UML metamodel-based approach for creating and executing workflow models. The modeling language is introduced through its abstract syntax, and an eval...
Jens Brüning, Martin Gogolla
112
Voted
IJCNN
2007
IEEE
15 years 8 months ago
Agnostic Learning vs. Prior Knowledge Challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
156
Voted
IPSN
2007
Springer
15 years 8 months ago
Hierarchical spatial gossip for multi-resolution representations in sensor networks
In this paper we propose a lightweight algorithm for constructing multi-resolution data representations for sensor networks. We compute, at each sensor node u, O(log n) aggregates...
Rik Sarkar, Xianjin Zhu, Jie Gao
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