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ARTMED
1999
92views more  ARTMED 1999»
15 years 6 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
ICONIP
2010
15 years 5 months ago
Complex Spiking Models: A Role for Diffuse Thalamic Projections in Complex Cortical Activity
Cortical activity exhibits complex, persistent self-sustained dynamics, which is hypothesised to support the brain’s sophisticated processing capabilities. Prior studies have sho...
Peter Stratton, Janet Wiles
INFORMATICALT
2010
151views more  INFORMATICALT 2010»
15 years 5 months ago
The Use of Group Delay Features of Linear Prediction Model for Speaker Recognition
Abstract. New text independent speaker identification method is presented. Phase spectrum of allpole linear prediction (LP) model is used to derive the speech features. The featur...
Algirdas Bastys, Andrej Kisel, Bernardas Salna
CAI
2010
Springer
15 years 4 months ago
SMA - The Smyle Modeling Approach
Abstract. This paper introduces the model-based software development lifecycle model SMA--the Smyle Modeling Approach--which is centered around Smyle. Smyle is a dedicated learning...
Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern...
CMOT
2010
203views more  CMOT 2010»
15 years 4 months ago
A Bayesian approach to modeling lost person behaviors based on terrain features in Wilderness Search and Rescue
: In Wilderness Search and Rescue (WiSAR), the incident commander (IC) creates a probability distribution map of the likely location of the missing person. This map is important be...
Lanny Lin, Michael A. Goodrich