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JMLR
2006
116views more  JMLR 2006»
15 years 6 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 8 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 6 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...
RTCSA
2008
IEEE
16 years 28 days 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
SIPS
2007
IEEE
16 years 24 days 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...