1949 search results - page 256 / 390 » A New Class Based Associative Classification Algorithm |
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
FLAIRS
1998
13 years 10 months ago
1998
Manual generation of training examples for supervised learning is an expensive process. One way to reduce this cost is to produce training instances that are highly informative. T...
SPIN
2004
Springer
14 years 2 months ago
2004
Springer
The Murϕ-based Hopper tool is a general purpose explicit model checker. Hopper leverages Murϕ’s class structure to implement new algorithms. Hopper differs from Murϕ in that i...
HAPTICS
2003
IEEE
14 years 2 months ago
2003
IEEE
It seems likely that humans build internal models of objects that they explore haptically, and that the complexity of an internal model is not necessarily associated with complex ...
JMLR
2008
13 years 9 months ago
2008
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...