5771 search results - page 12 / 1155 » Learning similarity space |
PKDD
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
112
Voted
AAAI
2011
14 years 11 days ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
111
click to vote
IJCAI
2007
15 years 1 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...
115
Voted
ICMCS
2007
IEEE
15 years 6 months ago
2007
IEEE
Speaker verification is a technology of verifying the claimed identity of a speaker based on the speech signal from the speaker (voice print). To learn the score of similarity be...
CORR
2011
Springer
14 years 4 months ago
2011
Springer
We introduce an algorithm that, given n objects, learns a similarity matrix over all n2 pairs, from crowdsourced data alone. The algorithm samples responses to adaptively chosen t...