248 search results - page 25 / 50 » Unsupervised Learning for Hierarchical Clustering Using Stat... |
BIBM
2008
IEEE
14 years 2 months ago
2008
IEEE
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
IJCAI
2003
13 years 9 months ago
2003
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
AUSDM
2007
Springer
13 years 11 months ago
2007
Springer
Linking or matching databases is becoming increasingly important in many data mining projects, as linked data can contain information that is not available otherwise, or that woul...
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...