3624 search results - page 492 / 725 » Learning to learn: From smart machines to intelligent machin... |
199
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ICMLC
2010
Springer
15 years 4 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
205
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IJCNN
2008
IEEE
16 years 1 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 ...
164
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ACMICEC
2006
ACM
16 years 19 days ago
2006
ACM
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unkn...
196
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
175
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SIGCSE
2006
ACM
16 years 19 days ago
2006
ACM
An undergraduate elective course in data mining provides a strong opportunity for students to learn research skills, practice data structures, and enhance their understanding of a...