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AUSAI
2005
Springer
14 years 2 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb
MM
2004
ACM
170views Multimedia» more  MM 2004»
14 years 2 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 1 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
KDD
2000
ACM
97views Data Mining» more  KDD 2000»
14 years 19 days ago
Towards an effective cooperation of the user and the computer for classification
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
BIBE
2010
IEEE
143views Bioinformatics» more  BIBE 2010»
13 years 10 months ago
The Effect of Sequence Error and Partial Training Data on BLAST Accuracy
- Metagenomics is the study of environmental samples. Because few tools exist for metagenomic analysis, a natural step has been to utilize the popular homology tool, BLAST, to sear...
Steven D. Essinger, Gail L. Rosen