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» Analyzing the Errors of Unsupervised Learning
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AI
2002
Springer
13 years 5 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
GLOBECOM
2008
IEEE
14 years 2 days ago
Optimal Location Updates in Mobile Ad Hoc Networks: A Separable Cost Case
Abstract—We consider the location service in a mobile adhoc network (MANET), where each node needs to maintain its location information in the network by (i) frequently updating ...
Zhenzhen Ye, Alhussein A. Abouzeid
TASLP
2010
134views more  TASLP 2010»
13 years 10 days ago
Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions
This paper presents a maximum likelihood approach to multiple fundamental frequency (F0) estimation for a mixture of harmonic sound sources, where the power spectrum of a time fra...
Zhiyao Duan, Bryan Pardo, Changshui Zhang
CRYPTO
2011
Springer
245views Cryptology» more  CRYPTO 2011»
12 years 5 months ago
Fully Homomorphic Encryption from Ring-LWE and Security for Key Dependent Messages
We present a somewhat homomorphic encryption scheme that is both very simple to describe and analyze, and whose security (quantumly) reduces to the worst-case hardness of problems ...
Zvika Brakerski, Vinod Vaikuntanathan