3185 search results - page 127 / 637 » Graphical models for data mining |
KDD
1997
ACM
14 years 1 months ago
1997
ACM
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
IPMU
2010
Springer
13 years 7 months ago
2010
Springer
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
ICDM
2010
IEEE
13 years 7 months ago
2010
IEEE
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
BPM
2009
Springer
14 years 3 months ago
2009
Springer
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
ACL
2012
11 years 11 months ago
2012
We propose a novel model to automatically extract transliteration pairs from parallel corpora. Our model is efficient, language pair independent and mines transliteration pairs i...