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MCS
2001
Springer
13 years 10 months ago
Automatic Classification of Clustered Microcalcifications by a Multiple Classifier System
Pasquale Foggia, Carlo Sansone, Francesco Tortorel...
MCS
2001
Springer
13 years 10 months ago
Error Rejection in Linearly Combined Multiple Classifiers
In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory. Theoretical analysis described in [12,1...
Giorgio Fumera, Fabio Roli
MCS
2001
Springer
13 years 10 months ago
Genetic Programming for Improved Receiver Operating Characteristics
Genetic programming (GP) can automatically fuse given classifiers of diverse types to produce a combined classifier whose Receiver Operating Characteristics (ROC) are better than...
William B. Langdon, Bernard F. Buxton
MCS
2001
Springer
13 years 10 months ago
Automatic Model Selection in a Hybrid Perceptron/Radial Network
We provide several enhancements to our previously introduced algorithm for a sequential construction of a hybrid network of radial and perceptron hidden units [6]. At each stage, ...
Shimon Cohen, Nathan Intrator
MCS
2001
Springer
13 years 10 months ago
On Combining Dissimilarity Representations
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...
Elzbieta Pekalska, Robert P. W. Duin