756 search results - page 96 / 152 » Adaptive Learning in Machine Summarization |
211
Voted
VLDB
2008
ACM
16 years 2 months ago
2008
ACM
The evolution of computing technology suggests that it has become more feasible to offer access to Web information in a ubiquitous way, through various kinds of interaction device...
153
Voted
CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
104
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MM
2005
ACM
15 years 8 months ago
2005
ACM
Social and emotional intelligence are aspects of human intelligence that have been argued to be better predictors than IQ for measuring aspects of success in life, especially in s...
113
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TKDE
2010
15 years 1 months ago
2010
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
138
Voted
ICANN
2005
Springer
15 years 8 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...