181 search results - page 20 / 37 » Using machine learning to predict where people look |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
FLAIRS
2008
13 years 10 months ago
2008
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
ECTEL
2006
Springer
13 years 11 months ago
2006
Springer
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
ILP
1999
Springer
13 years 12 months ago
1999
Springer
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...