1110 search results - page 175 / 222 » An Intelligent Lessons Learned Process |
113
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FLAIRS
2010
15 years 2 months ago
2010
Nowadays, graph-based knowledge discovery algorithms do not consider numeric attributes (they are discarded in the preprocessing step, or they are treated as alphanumeric values w...
126
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KDD
2007
ACM
16 years 7 days ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
106
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CIKM
2009
Springer
15 years 6 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
120
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IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...