2512 search results - page 173 / 503 » Learning from Highly Structured Data by Decomposition |
89
Voted
ICDM
2009
IEEE
15 years 5 months ago
2009
IEEE
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
132
Voted
PRIB
2010
Springer
14 years 8 months ago
2010
Springer
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...
91
Voted
SPEECH
1998
14 years 10 months ago
1998
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
ICIP
2003
IEEE
15 years 12 months ago
2003
IEEE
This work addresses the challenge of extracting structure in educational and training media based on the type of material that is presented during lectures and training sessions. ...
96
Voted
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...