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» Teaching data modeling: process and patterns
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ARCS
2005
Springer
14 years 3 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 10 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 3 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
AAAI
2012
12 years 8 days ago
Far Out: Predicting Long-Term Human Mobility
Much work has been done on predicting where is one going to be in the immediate future, typically within the next hour. By contrast, we address the open problem of predicting huma...
Adam Sadilek, John Krumm
WSNA
2003
ACM
14 years 3 months ago
Information-directed routing in ad hoc sensor networks
—In a sensor network, data routing is tightly coupled to the needs of a sensing task, and hence the application semantics. This paper introduces the novel idea of information-dir...
Juan Liu, Feng Zhao, Dragan Petrovic