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» Detecting the direction of causal time series
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ESANN
2006
13 years 7 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 17 days ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
BPSC
2010
194views Business» more  BPSC 2010»
13 years 4 months ago
Ad-hoc Management Capabilities for Distributed Business Processes
: Advanced business processes are mostly distributed and require highly flexible management capabilities. In such scenarios, process parts often leave their initiator’s direct sp...
Sonja Zaplata, Dirk Bade, Kristof Hamann, Winfried...
ROBIO
2006
IEEE
156views Robotics» more  ROBIO 2006»
13 years 11 months ago
Abstraction of Odor Source Declaration Algorithm from Moth-Inspired Plume Tracing Strategies
—A moth behavior-inspired strategy, including tracing a chemical plume to its source and declaring the source location, was tested in near shore ocean conditions via a REMUS unde...
Wei Li
ICTAI
2006
IEEE
13 years 11 months ago
Modeling and Recognition of Gesture Signals in 2D Space: A Comparison of NN and SVM Approaches
In this paper we introduce a novel technique for modeling and recognizing gesture signals in 2D space. This technique is based on measuring the direction of the gradient of the mo...
Farhad Dadgostar, Abdolhossein Sarrafzadeh, Chao F...