128 search results - page 15 / 26 » Using Random Forests for Handwritten Digit Recognition |
102
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MCS
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
85
Voted
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
ICDAR
2003
IEEE
15 years 3 months ago
2003
IEEE
An automatic recognition of online handwritten text has been an on-going research problem for nearly four decades. It has been gaining more interest due to the increasing populari...
81
Voted
MCS
2001
Springer
15 years 2 months ago
2001
Springer
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
MCS
2009
Springer
15 years 4 months ago
2009
Springer
The classification of hyperspectral imagery, using multiple classifier systems is discussed and an SVM-based ensemble is introduced. The data set is separated into separate featu...