153 search results - page 22 / 31 » Unsupervised Learning of Name Structure From Coreference Dat... |
PRL
2010
13 years 6 months ago
2010
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
PAMI
2008
13 years 7 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
JACM
2010
13 years 6 months ago
2010
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
AI
2006
Springer
13 years 7 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
ICDM
2003
IEEE
14 years 27 days ago
2003
IEEE
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...