Sciweavers

145 search results - page 2 / 29
» Incorporating prior knowledge in fuzzy model identification
Sort
View
CIKM
2010
Springer
13 years 6 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
BMCBI
2010
214views more  BMCBI 2010»
13 years 7 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
IJAR
2002
98views more  IJAR 2002»
13 years 7 months ago
Contradiction sensitive fuzzy model-based adaptive control
Fuzzy model-based adaptive control, unlike traditional fuzzy control, extracts expert knowledge from data by using model identification techniques. In this paper, we propose an an...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
JCST
2006
119views more  JCST 2006»
13 years 7 months ago
Constraint-Based Fuzzy Models for an Environment with Heterogeneous Information-Granules
:- A novel constraint-based fuzzy modeling approach is proposed. Features of the proposed model are enumerated as below. 1)The knowledge base of a constraint-based fuzzy model can ...
K. Robert Lai, Yi-Yuan Chiang
ACL
2007
13 years 9 months ago
Guiding Statistical Word Alignment Models With Prior Knowledge
We present a general framework to incorporate prior knowledge such as heuristics or linguistic features in statistical generative word alignment models. Prior knowledge plays a ro...
Yonggang Deng, Yuqing Gao