38 search results - page 4 / 8 » Cluster-based concept invention for statistical relational l... |
ICFCA
2007
Springer
14 years 1 months ago
2007
Springer
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
STOC
2000
ACM
13 years 11 months ago
2000
ACM
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
Multi-concept learning is an important problem in multimedia content analysis and retrieval. It connects two key components in the multimedia semantic ecosystem: multimedia lexico...
IDA
2007
Springer
13 years 7 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...