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» Hierarchical exploration of large multivariate data sets
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TCBB
2010
176views more  TCBB 2010»
14 years 8 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 1 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»
14 years 11 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 3 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»
14 years 9 months 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