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GRC
2008
IEEE
15 years 8 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li
ICML
2010
IEEE
15 years 8 months ago
Efficient Learning with Partially Observed Attributes
We describe and analyze efficient algorithms for learning a linear predictor from examples when the learner can only view a few attributes of each training example. This is the ca...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
IEAAIE
2010
Springer
15 years 4 months ago
A Study of Detecting Computer Viruses in Real-Infected Files in the n-Gram Representation with Machine Learning Methods
Abstract. Machine learning methods were successfully applied in recent years for detecting new and unseen computer viruses. The viruses were, however, detected in small virus loade...
Thomas Stibor
SAB
2010
Springer
150views Optimization» more  SAB 2010»
15 years 4 months ago
Internal Models in the Cerebellum: A Coupling Scheme for Online and Offline Learning in Procedural Tasks
The cerebellum plays a major role in motor control. It is thought to mediate the acquisition of forward and inverse internal models of the bodyenvironment interaction [1]. In this ...
Jean-Baptiste Passot, Niceto Luque, Angelo Arleo
ITS
2004
Springer
81views Multimedia» more  ITS 2004»
16 years 6 days ago
Towards Adaptive Generation of Faded Examples
Abstract. Faded examples have been investigated in pedagogical psychology. The experiments suggest that a learner can benefit from faded examples. For these experiments a few exam...
Erica Melis, Georgi Goguadze