Sciweavers

1553 search results - page 39 / 311
» Learning from Multiple Sources of Inaccurate Data
Sort
View
GRC
2010
IEEE
13 years 9 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
14 years 2 months ago
Hot Item Mining and Summarization from Multiple Auction Web Sites
Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for biddi...
Tak-Lam Wong, Wai Lam
IDA
2010
Springer
13 years 7 months ago
Multi-dimensional data construction method with its application to learning from small-sample-sets
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
Hsiao-Fan Wang, Chun-Jung Huang
ICDE
2006
IEEE
95views Database» more  ICDE 2006»
14 years 10 months ago
Learning from Aggregate Views
In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...
Bee-Chung Chen, Lei Chen 0003, Raghu Ramakrishnan,...
BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
14 years 3 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 ...