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» Generative Prior Knowledge for Discriminative Classification
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GCB
2007
Springer
83views Biometrics» more  GCB 2007»
14 years 18 days ago
Supervised Posteriors for DNA-motif Classification
: 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...
Jan Grau, Jens Keilwagen, Alexander E. Kel, Ivo Gr...
COLING
2010
13 years 3 months ago
Discriminative Training for Near-Synonym Substitution
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...
Liang-Chih Yu, Hsiu-Min Shih, Yu-Ling Lai, Jui-Fen...
CVPR
2010
IEEE
14 years 5 months ago
A Generative Perspective on MRFs in Low-Level Vision
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...
Uwe Schmidt, Qi Gao, Stefan Roth
ICML
2006
IEEE
14 years 9 months ago
Learning a kernel function for classification with small training samples
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...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ICA
2010
Springer
13 years 9 months ago
Decomposition of EEG Signals for Multichannel Neural Activity Analysis in Animal Experiments
We describe in this paper an advanced protocol for the discrimination and the classification of neuronal spike waveforms within multichannel electrophysiological recordings. Sparse...
Vincent Vigneron, Hsin Chen, Yen-Tai Chen, Hsin-Yi...