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» Algorithms for the Sample Mean of Graphs
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PR
2008
161views more  PR 2008»
14 years 11 months ago
A study on three linear discriminant analysis based methods in small sample size problem
In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
Jun Liu, Songcan Chen, Xiaoyang Tan
PAKDD
2010
ACM
203views Data Mining» more  PAKDD 2010»
15 years 4 months ago
Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph
Both itemset mining and graph mining have been studied independently. Here, we introduce a novel data structure, which is an unweighted graph whose vertices contain itemsets. From ...
Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun S...
APVIS
2001
15 years 1 months ago
Building Virtual Worlds with the Big-Bang Model
Visualisations implemented as virtual worlds can allow users to comprehend large graphs more effectively. Good 3D layout algorithms are an important element. Angle has been develo...
Neville Churcher, Alan Creek
SEFM
2008
IEEE
15 years 6 months ago
A Fast Algorithm to Compute Heap Memory Bounds of Java Card Applets
We present an approach to find upper bounds of heap space for Java Card applets. Our method first transforms an input bytecode stream into a control flow graph (CFG), and then ...
Tuan-Hung Pham, Anh-Hoang Truong, Ninh-Thuan Truon...
RSFDGRC
2005
Springer
117views Data Mining» more  RSFDGRC 2005»
15 years 5 months ago
Dependency Bagging
In this paper, a new variant of Bagging named DepenBag is proposed. This algorithm obtains bootstrap samples at first. Then, it employs a causal discoverer to induce from each sam...
Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Z...