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» Using Data Mining in MURA Graphic Problems
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PAKDD
2007
ACM
110views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Combining Convolution Kernels Defined on Heterogeneous Sub-structures
Convolution kernels, constructed by convolution of sub-kernels defined on sub-structures of composite objects, are widely used in classification, where one important issue is to ch...
Minlie Huang, Xiaoyan Zhu
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 11 months ago
The role of game theory in human computation systems
The paradigm of “human computation” seeks to harness human abilities to solve computational problems or otherwise perform distributed work that is beyond the scope of current ...
Shaili Jain, David C. Parkes
ICDM
2008
IEEE
193views Data Mining» more  ICDM 2008»
15 years 11 months ago
Multiplicative Mixture Models for Overlapping Clustering
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
Qiang Fu, Arindam Banerjee
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...