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ICML
2010
IEEE
13 years 10 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
PRIB
2010
Springer
123views Bioinformatics» more  PRIB 2010»
13 years 7 months ago
Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
We studied 1372 LacI-family transcription factors and their 4484 DNA binding sites using machine learning algorithms and feature selection techniques. The Naive Bayes classifier a...
Gennady G. Fedonin, Mikhail S. Gelfand
ICALT
2003
IEEE
14 years 2 months ago
Online Self-Assessment as a Learning Method
Algorithms and Programming Languages is a core subject in the BS Degree in Mathematics at the authors’ university. Some of the students are very interested in computer programmi...
Daniel Gayo-Avello, Hortensia Fernández-Cue...
IEAAIE
2005
Springer
14 years 2 months ago
Movement Prediction from Real-World Images Using a Liquid State Machine
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
Harald Burgsteiner, Mark Kröll, Alexander Leo...
CCGRID
2005
IEEE
14 years 2 months ago
The QuarkNet/grid collaborative learning e-Lab
We describe a case study that uses grid computing techniques to support the collaborative learning of high school students investigating cosmic rays. Students gather and upload sc...
Marjorie Bardeen, Eric Gilbert, Thomas Jordan, Pau...