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IJCNN
2008
IEEE
14 years 4 months ago
Dataset complexity can help to generate accurate ensembles of k-nearest neighbors
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...
Oleg Okun, Giorgio Valentini
NN
2010
Springer
125views Neural Networks» more  NN 2010»
13 years 8 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
MOBIHOC
2005
ACM
14 years 10 months ago
Reliable bursty convergecast in wireless sensor networks
We address the challenges of bursty convergecast in multi-hop wireless sensor networks, where a large burst of packets from different locations needs to be transported reliably an...
Hongwei Zhang, Anish Arora, Young-ri Choi, Mohamed...
CN
2006
107views more  CN 2006»
13 years 10 months ago
BGP session lifetime modeling in congested networks
The reliable Border Gateway Protocol (BGP) is essential for supporting high quality Internet data communication. In present Internet, due to the lack of differentiation mechanism ...
Li Xiao, Guanghui He, Klara Nahrstedt
BMCBI
2006
129views more  BMCBI 2006»
13 years 10 months ago
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
Background: Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied t...
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. B...