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FUZZIEEE
2007
IEEE
14 years 1 months ago
Fuzzy Approximation for Convergent Model-Based Reinforcement Learning
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
ICIP
1995
IEEE
14 years 9 months ago
Parallel computation of sequential pixel updates in statistical tomographic reconstruction
While Bayesian methods can significantly improve the quality of tomographic reconstructions, they require the solution of large iterative optimization problems. Recent results ind...
Ken D. Sauer, S. Borman, Charles A. Bouman
ASPDAC
2006
ACM
130views Hardware» more  ASPDAC 2006»
14 years 1 months ago
Convergence-provable statistical timing analysis with level-sensitive latches and feedback loops
Statistical timing analysis has been widely applied to predict the timing yield of VLSI circuits when process variations become significant. Existing statistical latch timing met...
Lizheng Zhang, Jeng-Liang Tsai, Weijen Chen, Yuhen...
NIPS
2001
13 years 9 months ago
On the Convergence of Leveraging
We give an unified convergence analysis of ensemble learning methods including e.g. AdaBoost, Logistic Regression and the Least-SquareBoost algorithm for regression. These methods...
Gunnar Rätsch, Sebastian Mika, Manfred K. War...
ISBI
2002
IEEE
14 years 8 months ago
A new convergent MAP reconstruction algorithm for emission tomography using ordered subsets and separable surrogates
We investigate a new, fast and provably convergentMAP reconstruction algorithm for emission tomography. The new algorithm, termed C-OSEM has its origin in the alternating algorith...
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi