710 search results - page 31 / 142 » Online Learning with Prior Knowledge |
NIPS
1992
13 years 10 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
NIPS
2004
13 years 11 months ago
2004
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
IJCAI
2007
13 years 11 months ago
2007
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
ACL
2006
13 years 11 months ago
2006
This paper presents an adaptive learning framework for Phonetic Similarity Modeling (PSM) that supports the automatic construction of transliteration lexicons. The learning algori...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...