1746 search results - page 144 / 350 » Hierarchical Unsupervised Learning |
GECCO
2004
Springer
14 years 2 months ago
2004
Springer
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The four-level pachinko allocation model (PAM) (Li & McCallum, 2006) represents correlations among topics using a DAG structure. It does not, however, represent a nested hiera...
ICML
1994
IEEE
14 years 13 days ago
1994
IEEE
This paper presents an approach to automatic discovery of functions in Genetic Programming. The approach is based on discovery of useful building blocks by analyzing the evolution...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
We introduce a framework, which we call Divide-by-2 (DB2), for extending support vector machines (SVM) to multi-class problems. DB2 offers an alternative to the standard one-again...