658 search results - page 14 / 132 » Minimally-Supervised Classification using Multiple Observati... |
103
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IJCAI
1993
15 years 1 months ago
1993
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
100
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ICML
2003
IEEE
16 years 15 days ago
2003
IEEE
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
PODC
2010
ACM
15 years 1 months ago
2010
ACM
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
108
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KDD
2008
ACM
16 years 3 days ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
111
Voted
ICDM
2010
IEEE
14 years 9 months ago
2010
IEEE
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...