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INFORMATICALT
2007
111views more  INFORMATICALT 2007»
13 years 7 months ago
Oblique Support Vector Machines
In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principl...
Chih-Chia Yao, Pao-Ta Yu
CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 2 months ago
AWGN Channel Analysis of Terminated LDPC Convolutional Codes
— It has previously been shown that ensembles of terminated protograph-based low-density parity-check (LDPC) convolutional codes have a typical minimum distance that grows linear...
David G. M. Mitchell, Michael Lentmaier, Daniel J....
SIAMSC
2011
162views more  SIAMSC 2011»
13 years 2 months ago
Accelerating the LSTRS Algorithm
In a recent paper [Rojas, Santos, Sorensen: ACM ToMS 34 (2008), Article 11] an efficient method for solving the Large-Scale Trust-Region Subproblem was suggested which is based on ...
Jörg Lampe, Marielba Rojas, Danny C. Sorensen...
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
14 years 2 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 1 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...