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» Experimental Design for Variable Selection in Data Bases
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ICCV
2005
IEEE
16 years 10 days ago
Visual Learning Given Sparse Data of Unknown Complexity
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
Tao Xiang, Shaogang Gong
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
16 years 7 days ago
Genetic drift in univariate marginal distribution algorithm
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...
Yi Hong, Qingsheng Ren, Jin Zeng
BMCBI
2005
109views more  BMCBI 2005»
15 years 6 months ago
Automation of gene assignments to metabolic pathways using high-throughput expression data
Background: Accurate assignment of genes to pathways is essential in order to understand the functional role of genes and to map the existing pathways in a given genome. Existing ...
Liviu Popescu, Golan Yona
174
Voted
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 7 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
ITCC
2003
IEEE
16 years 4 hour ago
Methodologies for Web Information System Design
The Web information space is rapidly growing in the size and the diversity of both its data and its audience. A consequence is that Web Information Systems (WIS) in many applicati...
Peter Barna, Flavius Frasincar, Geert-Jan Houben, ...