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» Generality Is Predictive of Prediction Accuracy
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WWW
2005
ACM
16 years 7 months ago
Towards autonomic web-sites based on learning automata
Autonomics or self-reorganization becomes pertinent for websites serving a large number of users with highly varying workloads. An important component of self-adaptation is to mod...
Pradeep S, Chitra Ramachandran, Srinath Srinivasa
ICTAI
2008
IEEE
16 years 1 months ago
Using Imputation Techniques to Help Learn Accurate Classifiers
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greine...
GLVLSI
2007
IEEE
173views VLSI» more  GLVLSI 2007»
15 years 7 months ago
Modeling and estimating leakage current in series-parallel CMOS networks
This paper reviews the modeling of subthreshold leakage current and proposes an improved model for general series-parallel CMOS networks. The presence of on-switches in off-networ...
Paulo F. Butzen, André Inácio Reis, ...
CEC
2009
IEEE
15 years 10 months ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
BMCBI
2006
107views more  BMCBI 2006»
15 years 6 months ago
A reinforced merging methodology for mapping unique peptide motifs in members of protein families
Background: Members of a protein family often have highly conserved sequences; most of these sequences carry identical biological functions and possess similar three-dimensional (...
Hao-Teng Chang, Tun-Wen Pai, Tan-Chi Fan, Bo-Han S...