Sciweavers

9290 search results - page 147 / 1858
» The Predictability of Data Values
Sort
View
100
Voted
ADMA
2006
Springer
153views Data Mining» more  ADMA 2006»
15 years 3 months ago
An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining
This paper presents a study on the combination of different classifiers for toxicity prediction. Two combination operators for the Multiple-Classifier System definition are also pr...
Daniel Neagu, Gongde Guo, Shanshan Wang
91
Voted
COLT
2005
Springer
15 years 3 months ago
Data Dependent Concentration Bounds for Sequential Prediction Algorithms
Abstract. We investigate the generalization behavior of sequential prediction (online) algorithms, when data are generated from a probability distribution. Using some newly develop...
Tong Zhang
102
Voted
BMCBI
2006
186views more  BMCBI 2006»
15 years 1 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
146
Voted
BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
15 years 7 months ago
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...
109
Voted
BMCBI
2008
117views more  BMCBI 2008»
15 years 1 months ago
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...