1701 search results - page 197 / 341 » Learning Mappings with Neural Network |
194
click to vote
JMLR
2010
15 years 22 days ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
160
click to vote
TNN
2008
15 years 5 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
190
click to vote
NIPS
2000
15 years 7 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
168
click to vote
NN
2007
Springer
15 years 5 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
158
click to vote
DIGRA
2005
Springer
15 years 11 months ago
2005
Springer
One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core...