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» The Kernel Least-Mean-Square Algorithm
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ICML
2005
IEEE
16 years 4 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston
117
Voted
CVPR
2010
IEEE
16 years 50 min ago
Analyzing Spatially-varying Blur
Blur is caused by a pixel receiving light from multiple scene points, and in many cases, such as object motion, the induced blur varies spatially across the image plane. However, ...
Ayan Chakrabarti, Todd Zickler, William Freeman
263
Voted
ICS
2011
Tsinghua U.
14 years 7 months ago
Hystor: making the best use of solid state drives in high performance storage systems
With the fast technical improvement, flash memory based Solid State Drives (SSDs) are becoming an important part of the computer storage hierarchy to significantly improve perfo...
Feng Chen, David A. Koufaty, Xiaodong Zhang
ICML
2009
IEEE
16 years 4 months ago
A simpler unified analysis of budget perceptrons
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
Ilya Sutskever
NIPS
2008
15 years 5 months ago
Regularized Policy Iteration
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...