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WSC
2007
15 years 9 months ago
Feasibility study of variance reduction in the logistics composite model
The Logistics Composite Model (LCOM) is a stochastic, discrete-event simulation that relies on probabilities and random number generators to model scenarios in a maintenance unit ...
George P. Cole III, Alan W. Johnson, J. O. Miller
ESWA
2008
124views more  ESWA 2008»
15 years 6 months ago
A hybrid financial analysis model for business failure prediction
Accounting frauds have continuously happened all over the world. This leads to the need of predicting business failures. Statistical methods and machine learning techniques have b...
Shi-Ming Huang, Chih-Fong Tsai, David C. Yen, Yin-...
COGSCI
2002
99views more  COGSCI 2002»
15 years 6 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
BMVC
2001
15 years 9 months ago
Deformable Spatio-Temporal Shape Models: Extending ASM to 2D+Time
This paper extends 2D Active Shape Models to 2D+time by presenting a method for modelling and segmenting spatio-temporal shapes (ST-shapes). The modelling part consists of constru...
Ghassan Hamarneh, Tomas Gustavsson
NIPS
2007
15 years 8 months ago
SpAM: Sparse Additive Models
We present a new class of models for high-dimensional nonparametric regression and classification called sparse additive models (SpAM). Our methods combine ideas from sparse line...
Pradeep D. Ravikumar, Han Liu, John D. Lafferty, L...