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ICANN
2011
Springer
10 years 2 months ago
Bias of Importance Measures for Multi-valued Attributes and Solutions
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
Houtao Deng, George C. Runger, Eugene Tuv
OIR
2011
401views Neural Networks» more  OIR 2011»
10 years 1 months ago
Using Online Collaborative Tools for Groups to Co-Construct Knowledge
(limit 250 words) Purpose This paper reports and describes the use of MediaWiki and Google Docs at undergraduate level as online collaboration tools for co-constructing knowledge i...
Sam Kai Wah Chu, David M. Kennedy
NN
2011
Springer
348views Neural Networks» more  NN 2011»
10 years 5 months ago
Tree-like hierarchical associative memory structures
In this letter we explore an alternative structural representation for Steinbuch-type binary associative memories. These networks offer very generous storage capacities (both asy...
João Sacramento, Andreas Wichert
OL
2011
332views Neural Networks» more  OL 2011»
10 years 5 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski
ICANN
2011
Springer
10 years 2 months ago
Extending Tree Kernels with Topological Information
The definition of appropriate kernel functions is crucial for the performance of a kernel method. In many of the state-of-the-art kernels for trees, matching substructures are con...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
Neural Networks
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