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110
Voted
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 1 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
99
Voted
CORR
2010
Springer
150views Education» more  CORR 2010»
15 years 25 days ago
Extraction of Symbolic Rules from Artificial Neural Networks
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
S. M. Kamruzzaman, Md. Monirul Islam
106
Voted
ICML
2003
IEEE
16 years 1 months ago
Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
Aldebaro Klautau, Nikola Jevtic, Alon Orlitsky
99
Voted
INTERSPEECH
2010
14 years 7 months ago
Dialog prediction for a general model of turn-taking
Today there are solutions for some specific turn-taking problems, but no general model. We show how turn-taking can be reduced to two more general problems, prediction and selecti...
Nigel G. Ward, Olac Fuentes, Alejandro Vega
110
Voted
BMCBI
2008
153views more  BMCBI 2008»
15 years 26 days ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...