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» Measuring empirical computational complexity
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ISIPTA
2005
IEEE
168views Mathematics» more  ISIPTA 2005»
15 years 10 months ago
Approximate Inference in Credal Networks by Variational Mean Field Methods
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution fo...
Jaime Shinsuke Ide, Fabio Gagliardi Cozman
91
Voted
CORR
2008
Springer
111views Education» more  CORR 2008»
15 years 5 months ago
On the decomposition of k-valued rational relations
We give a new, and hopefully more easily understandable, structural proof of the decomposition of a k-valued transducer into k unambiguous functional ones, a result established by...
Jacques Sakarovitch, Rodrigo de Souza
144
Voted
JMLR
2006
107views more  JMLR 2006»
15 years 5 months ago
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
In many pattern recognition/classification problem the true class conditional model and class probabilities are approximated for reasons of reducing complexity and/or of statistic...
Magnus Ekdahl, Timo Koski
157
Voted
CORR
2011
Springer
183views Education» more  CORR 2011»
15 years 3 days ago
Mean-Variance Optimization in Markov Decision Processes
We consider finite horizon Markov decision processes under performance measures that involve both the mean and the variance of the cumulative reward. We show that either randomiz...
Shie Mannor, John N. Tsitsiklis
ICIP
2001
IEEE
16 years 6 months ago
I/P frame selection using classification based mode decision
There are many mode decisions in the video coding process that are used to optimize the performance in terms of the bit rate, the speed and the quality of the decoded video. We de...
Deepak S. Turaga, Tsuhan Chen