573 search results - page 79 / 115 » Probabilistic Explanation Based Learning |
JMLR
2002
13 years 8 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
AIED
2009
Springer
14 years 3 months ago
2009
Springer
One of the most popular student modeling techniques currently available is Constraint Based Modeling (CBM), which is based on Ohlsson's theory of learning from performance err...
ISBI
2009
IEEE
14 years 3 months ago
2009
IEEE
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
RAID
2000
Springer
14 years 10 days ago
2000
Springer
Inference methods for detecting attacks on information resources typically use signature analysis or statistical anomaly detection methods. The former have the advantage of attack...