283 search results - page 7 / 57 » Neural Learning from Unbalanced Data |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
AIIA
2001
Springer
14 years 4 days ago
2001
Springer
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
ICANN
2003
Springer
14 years 25 days ago
2003
Springer
We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
DELOS
2000
13 years 9 months ago
2000
User feedback has proven very successful to query large multimedia databases. Due to the nature of the data representation and the mismatch between mathematical models and human p...
ICANN
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...