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NN
2002
Springer
115views Neural Networks» more  NN 2002»
13 years 8 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
SIGCSE
2010
ACM
145views Education» more  SIGCSE 2010»
14 years 2 months ago
How do computing faculty adopt curriculum innovations?: the story from instructors
This paper presents the findings of an exploratory, qualitative study revealing computing instructors’ experience in adopting curriculum innovations. We interviewed eight instru...
Lijun Ni, Tom McKlin, Mark Guzdial
CVPR
2005
IEEE
14 years 11 months ago
Random Subwindows for Robust Image Classification
We present a novel, generic image classification method based on a recent machine learning algorithm (ensembles of extremely randomized decision trees). Images are classified usin...
Justus H. Piater, Louis Wehenkel, Pierre Geurts, R...
SIGCSE
2005
ACM
156views Education» more  SIGCSE 2005»
14 years 2 months ago
Experiences teaching operating systems using virtual platforms and linux
Operating system courses teach students much more when they provide hands-on kernel-level project experience with a real operating system. However, enabling a large class of stude...
Jason Nieh, Chris Vaill
JMLR
2010
119views more  JMLR 2010»
13 years 3 months ago
The Coding Divergence for Measuring the Complexity of Separating Two Sets
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Mahito Sugiyama, Akihiro Yamamoto