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HICSS
2011
IEEE
185views Biometrics» more  HICSS 2011»
14 years 3 months ago
The Impact of Stimuli Characteristics on the Ideation Process: An Evaluation of the Change of Perspective 'Analogy'
Idea generation techniques provide a variety of approaches for supporting an innovation process. Until recently, the space of techniques has been unstructured, and no clear guidel...
Stefan Werner Knoll, Graham Horton
ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
15 years 4 months ago
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
IJHIS
2008
84views more  IJHIS 2008»
14 years 11 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
SIGMOD
2009
ACM
250views Database» more  SIGMOD 2009»
16 years 9 hour ago
Query processing techniques for solid state drives
Solid state drives perform random reads more than 100x faster than traditional magnetic hard disks, while offering comparable sequential read and write bandwidth. Because of their...
Dimitris Tsirogiannis, Stavros Harizopoulos, Mehul...
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
15 years 6 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer