394 search results - page 22 / 79 » A Study of Empirical Learning for an Involved Problem |
ML
2007
ACM
14 years 11 months ago
2007
ACM
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
ML
2006
ACM
14 years 11 months ago
2006
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
IJMMS
2006
14 years 11 months ago
2006
How to measure usability is an important question in HCI research and user interface evaluation. We review current practice in measuring usability by categorizing and discussing u...
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GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
IJCNLP
2005
Springer
15 years 5 months ago
2005
Springer
The current work applies Conditional Random Fields to the problem of temporal reference mapping from Chinese text to English text. The learning algorithm utilizes a moderate number...