2615 search results - page 312 / 523 » Predictive Hebbian Learning |
108
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Many biological propositions can be supported by a variety of different types of evidence. It is often useful to collect together large numbers of such propositions, together with...
148
click to vote
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
123
click to vote
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
104
click to vote
IROS
2007
IEEE
15 years 10 months ago
2007
IEEE
— A novel probabilistic online learning framework for autonomous off-road robot navigation is proposed. The system is purely vision-based and is particularly designed for predict...
135
click to vote
ALT
2007
Springer
15 years 10 months ago
2007
Springer
This paper deals with the problem of making predictions in the online mode of learning where the dependence of the outcome yt on the signal xt can change with time. The Aggregating...