248 search results - page 32 / 50 » Unsupervised Learning for Hierarchical Clustering Using Stat... |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— The number of XML documents produced and available on the Internet is steadily increasing. It is thus important to devise automatic procedures to extract useful information fro...
ECAI
2004
Springer
14 years 28 days ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
BMCBI
2006
13 years 7 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
ICMLA
2009
13 years 5 months ago
2009
Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-feat...