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SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
15 years 8 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 8 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
SODA
2008
ACM
97views Algorithms» more  SODA 2008»
15 years 8 months ago
Stochastic analyses for online combinatorial optimization problems
In this paper, we study online algorithms when the input is not chosen adversarially, but consists of draws from some given probability distribution. While this model has been stu...
Naveen Garg, Anupam Gupta, Stefano Leonardi, Piotr...
ADHOCNOW
2008
Springer
15 years 7 months ago
Optimal Gathering Algorithms in Multi-hop Radio Tree-Networks ith Interferences
We study the problem of gathering information from the nodes of a multi-hop radio network into a pre-defined destination node under the interference constraints. In such a network...
Jean-Claude Bermond, Min-Li Yu
ADHOCNOW
2008
Springer
15 years 7 months ago
Adaptive Priority Based Distributed Dynamic Channel Assignment for Multi-radio Wireless Mesh Networks
Abstract. This paper investigates the challenges involve in designing a dynamic channel assignment (DCA) scheme for wireless mesh networks, particularly for multi-radio systems. It...
Tope R. Kareem, Karel Matthee, H. Anthony Chan, Nt...
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