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PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
16 years 16 days 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...
IJCNN
2006
IEEE
16 years 13 days ago
Generalizing Independent Component Analysis for Two Related Data Sets
— We introduce in this paper methods for finding mutually corresponding dependent components from two different but related data sets in an unsupervised (blind) manner. The basi...
Juha Karhunen, Tomas Ukkonen
170
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EPIA
2005
Springer
15 years 12 months ago
Acquiring Observation Models Through Reverse Plan Monitoring
We present a general-purpose framework for updating a robot’s observation model within the context of planning and execution. Traditional plan execution relies on monitoring plan...
Sonia Chernova, Elisabeth Crawford, Manuela M. Vel...
DAWAK
2004
Springer
15 years 10 months ago
PROWL: An Efficient Frequent continuity Mining Algorithm on Event Sequences
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
ETRICS
2006
15 years 10 months ago
Privacy-Preserving Decision Tree Mining Based on Random Substitutions
Privacy-preserving decision tree mining is an important problem that has yet to be thoroughly understood. In fact, the privacypreserving decision tree mining method explored in the...
Jim Dowd, Shouhuai Xu, Weining Zhang