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ICALT
2003
IEEE
14 years 4 months ago
Using Gestures to Learn about Graphs: The Contribution of Multimodal Technology
This paper describes a study that investigates the use of a multimodal technology in a learning task. In relation to the recent interest in learning as a multimodal experience, th...
Stamatina Anastopoulou, Mike Sharples, Chris Baber
ML
2000
ACM
103views Machine Learning» more  ML 2000»
13 years 10 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir
COLT
2008
Springer
14 years 16 days ago
Time Varying Undirected Graphs
Undirected graphs are often used to describe high dimensional distributions. Under sparsity conditions, the graph can be estimated using 1 penalization methods. However, current m...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
BC
2002
61views more  BC 2002»
13 years 10 months ago
Spike timing dependent synaptic plasticity in biological systems
Association of a presynaptic spike with a postsynaptic spike can lead to changes in synaptic efficacy that are highly dependent on the relative timing of the preand postsynaptic sp...
Patrick D. Roberts, Curtis C. Bell
ICA
2010
Springer
13 years 9 months ago
Time Series Causality Inference Using Echo State Networks
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
Norbert Michael Mayer, Oliver Obst, Chang Yu-Chen