1351 search results - page 108 / 271 » Learning from compressed observations |
131
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ISNN
2007
Springer
15 years 10 months ago
2007
Springer
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
123
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SGAI
2007
Springer
15 years 10 months ago
2007
Springer
In this paper we describe a novel technique which implements a spatiotemporal model as a set of sub-models based on first order logic. These sub-models model different, typicall...
115
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ECML
1993
Springer
15 years 8 months ago
1993
Springer
This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the t...
182
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FLAIRS
2008
15 years 6 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
133
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AAAI
2010
15 years 5 months ago
2010
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...