986 search results - page 31 / 198 » Zero-data Learning of New Tasks |
146
Voted
KBS
2002
15 years 3 months ago
2002
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
134
Voted
LOCA
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. People rapidly learn the capabilities of a new location, without observing every service and product. Instead they map a few observations to familiar clusters of capabili...
120
Voted
GECCO
2000
Springer
15 years 7 months ago
2000
Springer
Interactions between evolution and lifetime learning are of great interest to studies of adaptive behaviour both in the natural world and the field of evolutionary computation. Th...
150
Voted
IJCAI
2007
15 years 5 months ago
2007
The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
272
Voted
NIPS
2008
15 years 5 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...