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» Monte Carlo methods for matrix computations on the grid
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DAC
1998
ACM
15 years 10 months ago
Maximum Power Estimation Using the Limiting Distributions of Extreme Order Statistics
In this paper we present a statistical method for estimating the maximum power consumption in VLSI circuits. The method is based on the theory of extreme order statistics applied ...
Qinru Qiu, Qing Wu, Massoud Pedram
ALT
2003
Springer
15 years 6 months ago
Kernel Trick Embedded Gaussian Mixture Model
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
Jingdong Wang, Jianguo Lee, Changshui Zhang
CAV
2004
Springer
202views Hardware» more  CAV 2004»
15 years 3 months ago
Statistical Model Checking of Black-Box Probabilistic Systems
Abstract. We propose a new statistical approach to analyzing stochastic systems against specifications given in a sublogic of continuous stochastic logic (CSL). Unlike past numeri...
Koushik Sen, Mahesh Viswanathan, Gul Agha
66
Voted
GECCO
2004
Springer
15 years 3 months ago
Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations
The colour of colon tissue, which depends on the tissue structure, its optical properties, and the quantities of the pigments present in it, can be predicted by a physics-based mod...
Dzena Hidovic, Jonathan E. Rowe
78
Voted
NIPS
2001
14 years 11 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...