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» Machine-Learning Applications of Algorithmic Randomness
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BMCBI
2006
142views more  BMCBI 2006»
15 years 1 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 8 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
PREMI
2007
Springer
15 years 7 months ago
Self Adaptable Recognizer for Document Image Collections
Abstract. This paper presents an architecture that enables the recognizer to learn incrementally and, thereby adapt to document image collections for performance improvement. We ar...
Million Meshesha, C. V. Jawahar
ICAC
2006
IEEE
15 years 7 months ago
Autonomic Provisioning of Backend Databases in Dynamic Content Web Servers
— In autonomic provisioning, a resource manager allocates resources to an application, on-demand, e.g., during load spikes. Modelling-based approaches have proved very successful...
Jin Chen, Gokul Soundararajan, Cristiana Amza
BMCBI
2010
153views more  BMCBI 2010»
15 years 1 months ago
MimoSA: a system for minimotif annotation
Background: Minimotifs are short peptide sequences within one protein, which are recognized by other proteins or molecules. While there are now several minimotif databases, they a...
Jay Vyas, Ronald J. Nowling, Thomas Meusburger, Da...