1662 search results - page 14 / 333 » Generation of Attributes for Learning Algorithms |
ILP
1999
Springer
13 years 12 months ago
1999
Springer
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
VLDB
2006
ACM
14 years 7 months ago
2006
ACM
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
JMLR
2008
13 years 7 months ago
2008
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
KDD
1995
ACM
13 years 11 months ago
1995
ACM
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
ECIR
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. We focus on two recently proposed algorithms in the family of “boosting”-based learners for automated text classification, AdaBoost.MH and AdaBoost.MHKR . While the ...