559 search results - page 20 / 112 » Neural methods for non-standard data |
ICML
2006
IEEE
16 years 19 days 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...
120
click to vote
IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
METMBS
2004
15 years 1 months ago
2004
In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the pot...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
104
click to vote
BMCBI
2006
14 years 12 months ago
2006
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...