307 search results - page 51 / 62 » Significance of Classification Techniques in Prediction of L... |
197
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CHI
2011
ACM
14 years 9 months ago
2011
ACM
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
163
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CHI
2011
ACM
14 years 9 months ago
2011
ACM
In games where skills such as targeting are critical to winning, it is difficult for players with different skill levels to have a competitive and engaging experience. Although se...
190
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PAKDD
2000
ACM
15 years 9 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
186
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ICML
1999
IEEE
16 years 6 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
163
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ICCV
2009
IEEE
16 years 10 months ago
2009
IEEE
Graph-based semi-supervised learning has gained considerable
interests in the past several years thanks to its effectiveness
in combining labeled and unlabeled data through
labe...