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» Comparing Networks from a Data Analysis Perspective
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SGAI
2007
Springer
16 years 25 days ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
15 years 4 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
15 years 5 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
206
Voted
SAC
2009
ACM
15 years 11 months ago
Opportunistic real-time routing in multi-hop wireless sensor networks
Wireless sensor networks (WSNs) are subject to significant resource constraints. Particularly, routing protocols for lowrate WSNs suffer from maintaining routing metrics and sta...
Junwhan Kim, Binoy Ravindran
PVLDB
2010
175views more  PVLDB 2010»
15 years 5 months ago
Dynamic Join Optimization in Multi-Hop Wireless Sensor Networks
To enable smart environments and self-tuning data centers, we are developing the Aspen system for integrating physical sensor data, as well as stream data coming from machine logi...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...