2615 search results - page 181 / 523 » Predictive Hebbian Learning |
134
Voted
UM
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Recent sensor technologies have enabled the capture of users’ behavior data. Given the large amount of data currently available from sensor-equipped environments, it is...
115
Voted
KES
2007
Springer
15 years 10 months ago
2007
Springer
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
127
click to vote
SGAI
2007
Springer
15 years 10 months ago
2007
Springer
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
135
Voted
CP
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
121
Voted
FLAIRS
2010
15 years 6 months ago
2010
When data instances are inter-related, as are nodes in a social network or hyperlink graph, algorithms for collective classification (CC) can significantly improve accuracy. Recen...