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AI
2002
Springer
13 years 7 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
CORR
2004
Springer
103views Education» more  CORR 2004»
13 years 7 months ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
ISCAS
2011
IEEE
278views Hardware» more  ISCAS 2011»
12 years 11 months ago
A programmable axonal propagation delay circuit for time-delay spiking neural networks
— we present an implementation of a programmable axonal propagation delay circuit which uses one first-order logdomain low-pass filter. Delays may be programmed in the 550ms rang...
Runchun Wang, Craig T. Jin, Alistair McEwan, Andr&...
INFOCOM
2005
IEEE
14 years 1 months ago
Assisted peer-to-peer search with partial indexing
—In the past few years, peer-to-peer (P2P) networks have become a promising paradigm for building a wide variety of distributed systems and applications. The most popular P2P app...
Rongmei Zhang, Y. Charlie Hu
SIGIR
2012
ACM
11 years 10 months ago
TwiNER: named entity recognition in targeted twitter stream
Many private and/or public organizations have been reported to create and monitor targeted Twitter streams to collect and understand users’ opinions about the organizations. Tar...
Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwi...