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IDEAL
2004
Springer
14 years 1 months ago
Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
Michael Small
AFRIGRAPH
2006
ACM
14 years 2 months ago
Compression of dense and regular point clouds
We present a simple technique for single-rate compression of point clouds sampled from a surface, based on a spanning tree of the points. Unlike previous methods, we predict futur...
Bruce Merry, Patrick Marais, James E. Gain
CIDM
2009
IEEE
14 years 2 months ago
Evolving decision trees using oracle guides
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
Ulf Johansson, Lars Niklasson
ESEM
2007
ACM
13 years 12 months ago
An Approach to Global Sensitivity Analysis: FAST on COCOMO
There are various models in software engineering that are used to predict quality-related aspects of the process or artefacts. The use of these models involves elaborate data coll...
Stefan Wagner
AAAI
2006
13 years 9 months ago
Fast Hierarchical Goal Schema Recognition
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
Nate Blaylock, James F. Allen