3837 search results - page 41 / 768 » Learning Approximate Consistencies |
137
click to vote
ML
2012
ACM
13 years 9 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
129
Voted
ICML
2001
IEEE
16 years 2 months ago
2001
IEEE
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
120
click to vote
NIPS
2008
15 years 3 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
136
click to vote
ISVC
2007
Springer
15 years 8 months ago
2007
Springer
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
107
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...