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» Superset Learning Based on Generalized Loss Minimization
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NIPS
2007
14 years 11 months ago
A Randomized Algorithm for Large Scale Support Vector Learning
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariha...
COMCOM
2004
112views more  COMCOM 2004»
14 years 10 months ago
Design and analysis of optimal adaptive de-jitter buffers
In order to transfer voice or some other application requiring real-time delivery over a packet network, we need a de-jitter buffer to eliminate delay jitters. An important design...
Gagan L. Choudhury, Robert G. Cole
ICC
2007
IEEE
130views Communications» more  ICC 2007»
15 years 4 months ago
Queuing with Adaptive Modulation over MIMO Wireless Links for Deadline Constrained Traffic: Cross-Layer Analysis and Design
In this paper, we consider a deadline constrained traffic and analyze the joint effects of packet queuing and adaptive modulation (AM) for packet transmission in MIMO systems. We p...
Jalil S. Harsini, Farshad Lahouti
FOCS
2010
IEEE
14 years 8 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
AAAI
2012
13 years 13 days ago
Learning Games from Videos Guided by Descriptive Complexity
In recent years, several systems have been proposed that learn the rules of a simple card or board game solely from visual demonstration. These systems were constructed for speciï...
Lukasz Kaiser