9886 search results - page 1414 / 1978 » Learning Compressible Models |
214
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
191
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SIGECOM
2006
ACM
16 years 1 months ago
2006
ACM
In traditional game theory, players are typically endowed with exogenously given knowledge of the structure of the game—either full omniscient knowledge or partial but fixed in...
240
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AIED
2007
Springer
15 years 11 months ago
2007
Springer
COLLECT-UML is a collaborative constraint-based tutor for teaching object-oriented analysis and design using Unified Modelling Language. It is the first system in the family of con...
208
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GECCO
2008
Springer
15 years 8 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
196
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BMCBI
2008
15 years 7 months ago
2008
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 ...