756 search results - page 106 / 152 » Adaptive Learning in Machine Summarization |
109
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VEE
2010
ACM
15 years 2 months ago
2010
ACM
Programmers who develop Web applications often use dynamic scripting languages such as Perl, PHP, Python, and Ruby. For general purpose scripting language usage, interpreter-based...
131
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IJON
1998
15 years 2 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
125
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NN
2007
Springer
15 years 2 months ago
2007
Springer
Real world processes with an “intensity” and “direction” component can be made complex by convenience of representation (vector fields, radar, sonar), and their processin...
127
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ICAC
2007
IEEE
15 years 9 months ago
2007
IEEE
As the use of virtualization and partitioning grows, it becomes possible to deploy a multi-tier web-based application with a variable amount of computing power. This introduces th...
133
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ICONIP
2007
15 years 4 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...