149 search results - page 2 / 30 » Unsupervised clustering using hyperclique pattern constraint... |
ICASSP
2010
IEEE
13 years 2 months ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
WSDM
2012
ACM
12 years 24 days ago
2012
ACM
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
WSDM
2012
ACM
12 years 24 days ago
2012
ACM
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
SSPR
2004
Springer
13 years 10 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...