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AAAI
1993
13 years 9 months ago
Complexity Analysis of Real-Time Reinforcement Learning
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
Sven Koenig, Reid G. Simmons
TCOM
2008
130views more  TCOM 2008»
13 years 7 months ago
Quasi-orthogonal STBC with minimum decoding complexity: performance analysis, optimal signal transformations, and antenna select
This letter presents a new method to directly analyze and optimize symbol error rate (SER) performance of minimum decoding complexity (MDC) ABBA space-time block codes based on a t...
Dung Ngoc Dao, Chintha Tellambura
IDA
2009
Springer
14 years 2 months ago
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures
We propose a probabilistic model for the Independent Vector Analysis approach to blind deconvolution and derive an asymptotic Newton method to estimate the model by Maximum Likelih...
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Mak...
ICIP
2004
IEEE
14 years 9 months ago
Scalable video coding based on motion-compensated temporal filtering: complexity and functionality analysis
Video coding techniques yielding state-of-the-art compression performance require large amount of computational resources, hence practical implementations, which target a broad ma...
Fabio Verdicchio, Yiannis Andreopoulos, Tom Clerck...
IEEEICCI
2003
IEEE
14 years 29 days ago
Signal Classification through Multifractal Analysis and Complex Domain Neural Networks
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....