598 search results - page 53 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
VTS
2000
IEEE
15 years 2 months ago
2000
IEEE
We propose a novel BIST technique for non-scan sequential circuits which does not modify the circuit under test. It uses a learning algorithm to build a hardware test sequence gen...
109
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KDD
2008
ACM
15 years 10 months ago
2008
ACM
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
106
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AIIA
2007
Springer
15 years 3 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
IAT
2010
IEEE
14 years 7 months ago
2010
IEEE
It is widely acknowledged that providing explanations is an important capability of intelligent systems. Explanation capabilities are useful, for example, in scenario-based traini...