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» Feature Selection for Inductive Generalization
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TVCG
2008
134views more  TVCG 2008»
13 years 8 months ago
Balloon Focus: a Seamless Multi-Focus+Context Method for Treemaps
The treemap is one of the most popular methods for visualizing hierarchical data. When a treemap contains a large number of items, inspecting or comparing a few selected items in a...
Ying Tu, Han-Wei Shen
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
14 years 8 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
VLDB
2007
ACM
155views Database» more  VLDB 2007»
14 years 8 months ago
Towards Graph Containment Search and Indexing
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, D...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 2 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
EMSOFT
2008
Springer
13 years 9 months ago
Automatically transforming and relating Uppaal models of embedded systems
Relations between models are important for effective automatic validation, for comparing implementations with specifications, and for increased understanding of embedded systems d...
Timothy Bourke, Arcot Sowmya