138 search results - page 13 / 28 » Latent Process Model for Manifold Learning |
104
Voted
KDD
2009
ACM
16 years 8 days ago
2009
ACM
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
ICTAI
2009
IEEE
15 years 6 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
95
Voted
CIKM
2009
Springer
15 years 6 months ago
2009
Springer
We have studied the problem of linking event information across different languages without the use of translation systems or dictionaries. The linking is based on interlingua in...
CANDC
2009
ACM
15 years 6 months ago
2009
ACM
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
104
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ICML
2008
IEEE
16 years 16 days ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...