2230 search results - page 175 / 446 » Reformulating Constraint Models Using Input Data |
146
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
112
Voted
SOCO
2008
Springer
15 years 2 months ago
2008
Springer
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
166
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SIGGRAPH
1992
ACM
15 years 6 months ago
1992
ACM
This paper discusses a new, symbolic approach to geometric modeling called generative modeling. The approach allows specification, rendering, and analysis of a wide variety of sha...
139
Voted
ICML
2008
IEEE
16 years 3 months 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...
131
Voted
DAWAK
2009
Springer
15 years 12 days ago
2009
Springer
Data Warehouses (DW) manage crucial enterprise information used for the decision making process which has to be protected from unauthorized accesses. However, security constraints ...