2363 search results - page 272 / 473 » Learning Algorithms for Domain Adaptation |
108
Voted
NIPS
2004
15 years 2 months ago
2004
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002...
95
Voted
NIPS
1994
15 years 2 months ago
1994
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
98
Voted
DIS
2009
Springer
15 years 7 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
92
Voted
CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
115
Voted
STOC
2006
ACM
16 years 29 days ago
2006
ACM
We study rerouting policies in a dynamic round-based variant of a well known game theoretic traffic model due to Wardrop. Previous analyses (mostly in the context of selfish routi...