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204
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JMLR
2006
116views more  JMLR 2006»
15 years 7 months ago
Step Size Adaptation in Reproducing Kernel Hilbert Space
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
WSC
2008
15 years 9 months ago
A rate result for simulation optimization with conditional value-at-risk constraints
We study a stochastic optimization problem that has its roots in financial portfolio design. The problem has a specified deterministic objective function and constraints on the co...
Soumyadip Ghosh
OL
2007
121views more  OL 2007»
15 years 7 months ago
Global optimization by continuous grasp
We introduce a novel global optimization method called Continuous GRASP (C-GRASP) which extends Feo and Resende’s greedy randomized adaptive search procedure (GRASP) from the dom...
Michael J. Hirsch, Cláudio Nogueira de Mene...
221
Voted
RTCSA
2008
IEEE
16 years 1 months ago
Discrete Frequency Selection of Frame-Based Stochastic Real-Time Tasks
Energy-efficient real-time task scheduling has been actively explored in the past decade. Different from the past work, this paper considers schedulability conditions for stochas...
Vandy Berten, Chi-Ju Chang, Tei-Wei Kuo
181
Voted
SIPS
2007
IEEE
16 years 1 months ago
An Area-Efficient FPGA-Based Architecture for Fully-Parallel Stochastic LDPC Decoding
Stochastic decoding is a new alternative method for low complexity decoding of error-correcting codes. This paper presents the first hardware architecture for stochastic decoding...
Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gros...