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CHI
2008
ACM
16 years 4 months ago
Experience sampling for building predictive user models: a comparative study
Experience sampling has been employed for decades to collect assessments of subjects' intentions, needs, and affective states. In recent years, investigators have employed au...
Ashish Kapoor, Eric Horvitz
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
SCL
2010
137views more  SCL 2010»
15 years 2 months ago
Cooperative distributed model predictive control
— Cooperative distributed model predictive control has recently been shown to provide stabilizing feedback for plants composed of any finite number of dynamically coupled subsys...
Brett T. Stewart, Aswin N. Venkat, James B. Rawlin...
EAAI
2006
98views more  EAAI 2006»
15 years 4 months ago
Neural network-based failure rate prediction for De Havilland Dash-8 tires
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
Ahmed Z. Al-Garni, Ahmad Jamal, Abid M. Ahmad, Abd...
CSDA
2006
145views more  CSDA 2006»
15 years 4 months ago
Improved predictions penalizing both slope and curvature in additive models
A new method is proposed to estimate the nonlinear functions in an additive regression model. Usually, these functions are estimated by penalized least squares, penalizing the cur...
Magne Aldrin