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» Coding discretizations of continuous functions
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ICMLA
2007
13 years 9 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
CORR
2010
Springer
111views Education» more  CORR 2010»
13 years 5 months ago
Error Exponent for Multiple-Access Channels:Lower Bounds
A unified framework to obtain all known lower bounds (random coding, typical random coding and expurgated bound) on the reliability function of a point-to-point discrete memoryles...
Ali Nazari, Achilleas Anastasopoulos, S. Sandeep P...
APSEC
2002
IEEE
14 years 18 days ago
Symbolic Simulation of Hybrid Systems
Continuous action systems (CAS) is a formalism intended for modeling hybrid systems (systems that combine discrete control with continuous behavior), and proving properties about ...
Ralph-Johan Back, Cristina Cerschi Seceleanu, Jan ...
KI
2007
Springer
13 years 7 months ago
Solving Decentralized Continuous Markov Decision Problems with Structured Reward
We present an approximation method that solves a class of Decentralized hybrid Markov Decision Processes (DEC-HMDPs). These DEC-HMDPs have both discrete and continuous state variab...
Emmanuel Benazera
EVOW
2009
Springer
14 years 2 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne