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» Learning predictive representations from a history
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JMLR
2012
12 years 6 days ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
AAAI
1996
13 years 11 months ago
Machine Learning of User Profiles: Representational Issues
As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is...
Eric Bloedorn, Inderjeet Mani, T. Richard MacMilla...
AROBOTS
1999
110views more  AROBOTS 1999»
13 years 9 months ago
Self-Localization of Autonomous Robots by Hidden Representations
We present a framework for constructing representations of space in an autonomous agent which does not obtain any direct information about its location. Instead the algorithm relie...
J. Michael Herrmann, Klaus Pawelzik, Theo Geisel
FLAIRS
2008
14 years 3 days ago
The Introspective Robot: Using Self-Prediction to Improve Robot Learning
We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in ...
James B. Marshall, Neil K. Makhija, Zachary D. Rot...
IEEEICCI
2009
IEEE
13 years 7 months ago
Learning from an ensemble of Receptive Fields
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Hanlin Goh, Joo Hwe Lim, Chai Quek