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SIGCSE
2002
ACM
218views Education» more  SIGCSE 2002»
13 years 9 months ago
Participatory design in a human-computer interaction course: teaching ethnography methods to computer scientists
Empirical evidence shows the ability for computer technology to deliver on its promises of enhancing our quality of life relies on how well the application fits our understanding ...
Jerry B. Weinberg, Mary L. Stephen
NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 9 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
PAA
2007
13 years 9 months ago
Pairwise feature evaluation for constructing reduced representations
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...
Artsiom Harol, Carmen Lai, Elzbieta Pekalska, Robe...
IJON
2010
178views more  IJON 2010»
13 years 8 months ago
An empirical study of two typical locality preserving linear discriminant analysis methods
: Laplacian Linear Discriminant Analysis (LapLDA) and Semi-supervised Discriminant Analysis (SDA) are two recently proposed LDA methods. They are developed independently with the a...
Lishan Qiao, Limei Zhang, Songcan Chen
ML
2008
ACM
110views Machine Learning» more  ML 2008»
13 years 8 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro