197 search results - page 15 / 40 » Word Clustering and Disambiguation Based on Co-occurrence Da... |
INFORMATICALT
2002
13 years 7 months ago
2002
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
ICTAI
2006
IEEE
14 years 1 months ago
2006
IEEE
We propose two Euclidean minimum spanning tree based clustering algorithms — one a k-constrained, and the other an unconstrained algorithm. Our k-constrained clustering algorith...
PAKDD
2009
ACM
14 years 2 months ago
2009
ACM
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
NAACL
2003
13 years 8 months ago
2003
This paper presents an unsupervised method for discriminating among the senses of a given target word based on the context in which it occurs. Instances of a word that occur in si...
CAINE
2009
13 years 5 months ago
2009
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...