2512 search results - page 29 / 503 » Learning from Highly Structured Data by Decomposition |
CIKM
1997
Springer
15 years 1 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
JMLR
2006
14 years 9 months ago
2006
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
IRI
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper, a framework for replacing missing values in a database is proposed since a real-world database is seldom complete. Good data quality in a database can directly impr...
101
click to vote
CORR
2010
Springer
14 years 6 months ago
2010
Springer
In this paper we propose a new wavelet transform applicable to functions defined on graphs, high dimensional data and networks. The proposed method generalizes the Haar-like transf...
FUZZIEEE
2007
IEEE
15 years 4 months ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...