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» Experience sampling for building predictive user models: a c...
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CHI
2011
ACM
12 years 8 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
ASPLOS
2006
ACM
13 years 9 months ago
Efficiently exploring architectural design spaces via predictive modeling
Architects use cycle-by-cycle simulation to evaluate design choices and understand tradeoffs and interactions among design parameters. Efficiently exploring exponential-size desig...
Engin Ipek, Sally A. McKee, Rich Caruana, Bronis R...
BMCBI
2004
153views more  BMCBI 2004»
13 years 5 months ago
Computational protein biomarker prediction: a case study for prostate cancer
Background: Recent technological advances in mass spectrometry pose challenges in computational mathematics and statistics to process the mass spectral data into predictive models...
Michael Wagner, Dayanand N. Naik, Alex Pothen, Sri...
BIOINFORMATICS
2005
109views more  BIOINFORMATICS 2005»
13 years 5 months ago
Prediction error estimation: a comparison of resampling methods
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
Annette M. Molinaro, Richard Simon, Ruth M. Pfeiff...
MOBIHOC
2006
ACM
14 years 4 months ago
Modeling steady-state and transient behaviors of user mobility: : formulation, analysis, and application
Recent studies on mobility modeling have focused on characterizing user mobility from real traces of wireless LANs (WLANs) and creating mobility models based on such characterizat...
Jong-Kwon Lee, Jennifer C. Hou