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» Data Aggregation Sets in Adaptive Data Model
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BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
16 years 1 months ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic
BMCBI
2010
176views more  BMCBI 2010»
15 years 6 months ago
Reverse engineering gene regulatory network from microarray data using linear time-variant model
nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
Mitra Kabir, Nasimul Noman, Hitoshi Iba
ICS
2005
Tsinghua U.
15 years 12 months ago
Reducing latencies of pipelined cache accesses through set prediction
With the increasing performance gap between the processor and the memory, the importance of caches is increasing for high performance processors. However, with reducing feature si...
Aneesh Aggarwal
CATA
2004
15 years 7 months ago
Decision Tree Induction for Dynamic, High-Dimensional Data Using P-Trees
1 Decision Tree Induction is a powerful classification tool that is much used in practice and works well for static data with dozens of attributes. We adapt the decision tree conce...
Anne Denton, William Perrizo
PKDD
2005
Springer
109views Data Mining» more  PKDD 2005»
15 years 12 months ago
An Imbalanced Data Rule Learner
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Canh Hao Nguyen, Tu Bao Ho