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128
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JMLR
2012
13 years 3 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
165
Voted
JMLR
2012
13 years 3 months ago
Algorithms for Learning Kernels Based on Centered Alignment
This paper presents new and effective algorithms for learning kernels. In particular, as shown by our empirical results, these algorithms consistently outperform the so-called uni...
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
INFOCOM
2012
IEEE
13 years 3 months ago
Jointly optimal bit loading, channel pairing and power allocation for multi-channel relaying
Abstract—We aim to enhance the end-to-end rate of a general dual-hop relay network with multiple channels and finite modulation formats, by jointly optimizing channel pairing, p...
Mahdi Hajiaghayi, Min Dong, Ben Liang
99
Voted
BROADNETS
2007
IEEE
15 years 7 months ago
Optimizing dimensionality and accelerating landmark positioning for coordinates based RTT predictions
Abstract— In this paper we analyze the positioning of landmarks in coordinates-based Internet distance prediction approaches with focus on Global Network Positioning (GNP). We sh...
Dragan Milic, Torsten Braun
89
Voted
AICCSA
2005
IEEE
104views Hardware» more  AICCSA 2005»
15 years 6 months ago
Multicast address management in the Internet: a study of the port blocking problem
A critical issue in multicast communication is how to identify multicast groups. In the Internet, multicast addresses and port numbers distinguish multicast groups from each other...
Emad Eldin Mohamed, Hussein M. Abdel-Wahab, I. Sal...