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ICANN
1997
Springer
15 years 8 months ago
A Boosting Algorithm for Regression
A new boosting algorithm ADABOOST-R for regression problems is presented and upper bound on the error is obtained. Experimental results to compare ADABOOST-R and other learning alg...
Alberto Bertoni, Paola Campadelli, M. Parodi
NSDI
2008
15 years 6 months ago
Best Practices for the Care and Feeding of a Program Committee, and Other Thoughts on Conference Organization
I provide several lessons learned from running a number of conference program committees over the past decade, as well as some additional thoughts on conference organization and t...
Fred Douglis
133
Voted
NN
2000
Springer
167views Neural Networks» more  NN 2000»
15 years 3 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori
PERCOM
2003
ACM
15 years 9 months ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
MOBIHOC
2009
ACM
16 years 4 months ago
A practical joint network-channel coding scheme for reliable communication in wireless networks
In this paper, we propose a practical scheme, called Non-Binary Joint Network-Channel Decoding (NB-JNCD) for reliable communication in wireless networks. It seamlessly couples cha...
Zheng Guo, Jie Huang, Bing Wang, Jun-Hong Cui, She...