6715 search results - page 107 / 1343 » Learning from a Test Set |
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
CC
2007
Springer
14 years 10 months ago
2007
Springer
Abstract. The problem of testing membership in the subset of the natural numbers produced at the output gate of a {∪, ∩,− , +, ×} combinational circuit is shown to capture a...
121
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ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
There has been much work on applying multiple-instance (MI) learning to contentbased image retrieval (CBIR) where the goal is to rank all images in a known repository using a smal...
105
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BMCBI
2006
14 years 10 months ago
2006
Background: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. The most common way to do this is to perform Fisher's exact tests to find...
AUSDM
2006
Springer
15 years 1 months ago
2006
Springer
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...