1837 search results - page 114 / 368 » Learning From Ambiguous Examples |
123
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AAAI
1997
15 years 6 months ago
1997
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
128
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IJON
2006
15 years 4 months ago
2006
Winner-Takes-All (WTA) prescriptions for Learning Vector Quantization (LVQ) are studied in the framework of a model situation: Two competing prototype vectors are updated accordin...
143
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APIN
1999
15 years 4 months ago
1999
The Connectionist Inductive Learning and Logic Programming System, C-IL 2 P, integrates the symbolic and connectionist paradigms of Artificial Intelligence through neural networks...
166
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ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
128
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SGAI
2007
Springer
15 years 11 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...