39 search results - page 4 / 8 » Generative Prior Knowledge for Discriminative Classification |
100
Voted
GCB
2007
Springer
15 years 5 months ago
2007
Springer
: Markov models have been proposed for the classification of DNA-motifs using generative approaches for parameter learning. Here, we propose to apply the discriminative paradigm fo...
114
Voted
COLING
2010
14 years 8 months ago
2010
Near-synonyms are useful knowledge resources for many natural language applications such as query expansion for information retrieval (IR) and paraphrasing for text generation. Ho...
119
Voted
CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
96
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
100
Voted
ICA
2010
Springer
15 years 1 months ago
2010
Springer
We describe in this paper an advanced protocol for the discrimination and the classification of neuronal spike waveforms within multichannel electrophysiological recordings. Sparse...