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» Reasoning about Knowledge Using Rough Sets
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IPSN
2007
Springer
14 years 4 months ago
Sparse data aggregation in sensor networks
We study the problem of aggregating data from a sparse set of nodes in a wireless sensor network. This is a common situation when a sensor network is deployed to detect relatively...
Jie Gao, Leonidas J. Guibas, Nikola Milosavljevic,...
EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 3 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
13 years 8 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
CICLING
2007
Springer
14 years 4 months ago
Dependency Analysis and CBR to Bridge the Generation Gap in Template-Based NLG
The present paper describes how dependency analysis can be used to automatically extract from a corpus a set of cases - and an accompanying vocabulary - which enable a template-bas...
Virginia Francisco, Raquel Hervás, Pablo Ge...
ICDE
2006
IEEE
152views Database» more  ICDE 2006»
15 years 15 hour ago
Mining Actionable Patterns by Role Models
Data mining promises to discover valid and potentially useful patterns in data. Often, discovered patterns are not useful to the user. "Actionability" addresses this pro...
Ke Wang, Yuelong Jiang, Alexander Tuzhilin