Sciweavers

692 search results - page 18 / 139
» Hierarchical exploration of large multivariate data sets
Sort
View
TCBB
2010
176views more  TCBB 2010»
14 years 10 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
COSIT
1997
Springer
143views GIS» more  COSIT 1997»
15 years 4 months ago
Using Hierarchical Spatial Data Structures for Hierarchical Spatial Reasoning
This paper gives a definition of Hierarchical Spatial Reasoning, which computes increasingly better results in a hierarchical fashion and stops the computation when a result is ac...
Sabine Timpf, Andrew U. Frank
SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
15 years 1 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
IEEECIT
2006
IEEE
15 years 6 months ago
A Complexity Metrics Set for Large-Scale Object-Oriented Software Systems
Although traditional software metrics have widely been applied to practical software projects, they have insufficient abilities to measure a large-scale system’s complexity at h...
Yutao Ma, Keqing He, Dehui Du, Jing Liu, Yulan Yan
JCB
2007
198views more  JCB 2007»
15 years 5 days ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III