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DAGSTUHL
2009
13 years 9 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 9 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 2 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
INFOCOM
2005
IEEE
14 years 2 months ago
Distributed algorithms for secure multipath routing
— To proactively defend against intruders from readily jeopardizing single-path data sessions, we propose a distributed secure multipath solution to route data across multiple pa...
Patrick P. C. Lee, Vishal Misra, Dan Rubenstein
CCS
2003
ACM
14 years 1 months ago
Robust correlation of encrypted attack traffic through stepping stones by manipulation of interpacket delays
Network based intruders seldom attack directly from their own hosts, but rather stage their attacks through intermediate “stepping stones” to conceal their identity and origin...
Xinyuan Wang, Douglas S. Reeves