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» Learning Useful Horn Approximations
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142
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INTERSPEECH
2010
14 years 10 months ago
Bayesian speaker recognition using Gaussian mixture model and laplace approximation
This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...
Shih-Sian Cheng, I-Fan Chen, Hsin-Min Wang
126
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ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
15 years 10 months ago
Least absolute policy iteration for robust value function approximation
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashim...
142
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ICON
2007
IEEE
15 years 10 months ago
An Approximate Analysis of the Balance among Performance, Utilization and Power Estimation of Server Systems by Use of the Batch
- In this paper we analyze the performance, utilization, and power estimation of server systems by both adopting the batch service and adjusting the batch size. In addition to redu...
Ying-Wen Bai, Yung-Sen Cheng, Cheng-Hung Tsai
173
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STOC
2012
ACM
209views Algorithms» more  STOC 2012»
13 years 6 months ago
Nearly optimal solutions for the chow parameters problem and low-weight approximation of halfspaces
The Chow parameters of a Boolean function f : {−1, 1}n → {−1, 1} are its n + 1 degree-0 and degree-1 Fourier coefficients. It has been known since 1961 [Cho61, Tan61] that ...
Anindya De, Ilias Diakonikolas, Vitaly Feldman, Ro...
140
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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
15 years 10 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...