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ICML
1998
IEEE
16 years 7 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich
DCC
2004
IEEE
16 years 5 months ago
Efficient Bit Allocation for Dependent Video Coding
A steepest descent based bit allocation method with polynomial iteration complexity for minimizing the sum of frame distortions under a total bit rate constraint is presented for ...
Yegnaswamy Sermadevi, Sheila S. Hemami
ICCAD
2004
IEEE
88views Hardware» more  ICCAD 2004»
16 years 3 months ago
Diagnosis of small-signal parameters for broadband amplifiers through S-parameter measurements and sensitivity-guided evolutiona
Kth increasing uncertainties in the modeling and pmcessing of semiconductor devices, it is essential that the sources of failures be identified once the devices ure manufactured I...
Fang Liu, Sule Ozev, Martin A. Brooke
ICPR
2010
IEEE
16 years 1 months ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel
GLOBECOM
2009
IEEE
16 years 1 months ago
Joint Power and Channel Resource Allocation for F/TDMA Decode and Forward Relay Networks
—In this paper, we study the joint power and channel resource allocation problem for a multiuser F/TDMA decodeand-forward (DF) relay network under per-node power constraints and ...
Yin Sun, Yuanzhang Xiao, Ming Zhao 0001, Xiaofeng ...