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EDM
2008
97views Data Mining» more  EDM 2008»
13 years 7 months ago
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
Using data from an existing pre-algebra computer-based tutor, we analyzed the covariance of item-types with the goal of describing a more effective way to assign skill labels to it...
Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koe...
BMCBI
2010
117views more  BMCBI 2010»
13 years 6 months ago
MetAssimulo: Simulation of Realistic NMR Metabolic Profiles
Background: Probing the complex fusion of genetic and environmental interactions, metabolic profiling (or metabolomics/metabonomics), the study of small molecules involved in meta...
Harriet J. Muncey, Rebecca Jones, Maria De Iorio, ...
MOBIDE
2005
ACM
13 years 11 months ago
Towards universal mobile caching
In the context of mobile data access, data caching is fundamental for both performance and functionality. For this reason there have been many studies into developing energy-effi...
Ganesh Santhanakrishnan, Ahmed Amer, Panos K. Chry...
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 6 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
IOR
2006
126views more  IOR 2006»
13 years 6 months ago
A New Linear Programming Approach to Radiation Therapy Treatment Planning Problems
We consider the problem of radiation therapy treatment planning for cancer patients. During radiation therapy, beams of radiation pass through a patient, killing both cancerous an...
H. Edwin Romeijn, Ravindra K. Ahuja, James F. Demp...