712 search results - page 20 / 143 » Pruning Training Sets for Learning of Object Categories |
ICML
1996
IEEE
14 years 9 months ago
1996
IEEE
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
NPL
2006
13 years 9 months ago
2006
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
SIGIR
2012
ACM
11 years 11 months ago
2012
ACM
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...