595 search results - page 28 / 119 » Learning Patterns in Noisy Data: The AQ Approach |
140
click to vote
JCP
2007
15 years 4 months ago
2007
Abstract— This paper presents i-AA1 , a constructive, incremental learning algorithm for a special class of weightless, self-organizing networks. In i-AA1 , learning consists of ...
156
click to vote
ICNC
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
143
click to vote
AAAI
2008
15 years 6 months ago
2008
Recent research has shown the benefit of framing problems of imitation learning as solutions to Markov Decision Problems. This approach reduces learning to the problem of recoveri...
169
click to vote
KDD
2009
ACM
15 years 11 months ago
2009
ACM
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
108
click to vote
IDA
2005
Springer
15 years 10 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...