1956 search results - page 321 / 392 » Learning the Relative Importance of Features in Image Data |
121
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UMUAI
1998
14 years 11 months ago
1998
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
111
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IJBRA
2010
14 years 9 months ago
2010
This paper explores the scalability issues associated with solving the Named Entity Recognition (NER) problem using Support Vector Machines (SVM) and high-dimensional features and ...
EDBT
2004
ACM
15 years 12 months ago
2004
ACM
Abstract. With the widespread use of e-business coupled with the public's awareness of data privacy issues and recent database security related legislations, incorporating sec...
120
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EXPDB
2006
ACM
15 years 5 months ago
2006
ACM
In data warehousing applications, the ability to efficiently delete large chunks of data from a table is very important. This feature is also known as Rollout. Rollout is generall...
ICML
2002
IEEE
16 years 20 days ago
2002
IEEE
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...