6715 search results - page 106 / 1343 » Learning from a Test Set |
RSCTC
2010
Springer
14 years 7 months ago
2010
Springer
In this paper we studied re-sampling methods for learning classifiers from imbalanced data. We carried out a series of experiments on artificial data sets to explore the impact of ...
NIPS
1997
14 years 11 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Attribute interactions are the irreducible dependencies between attributes. Interactions underlie feature relevance and selection, the structure of joint probability and classific...
CORR
2010
Springer
14 years 5 months ago
2010
Springer
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
ICSM
2006
IEEE
15 years 4 months ago
2006
IEEE
Software Engineers frequently need to locate and understand the code that implements a specific user feature of a large system. This paper reports on a study by Motorola Inc. and ...