540 search results - page 35 / 108 » Graph-based transfer learning |
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
CRYPTO
1995
Springer
15 years 1 months ago
1995
Springer
Abstract. In this paper we present an eficient protocol for “Committed Oblivious Transfer” to perform oblivious transfer on committed bits: suppose Alice is committed to bits 0...
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— This paper explores methods and representations that allow two perceptually heterogeneous robots, each of which represents concepts via grounded properties, to transfer knowled...
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GECCO
2004
Springer
15 years 3 months ago
2004
Springer
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...