The proposed algorithm finds the largest empirical conditional divergence for a set of contexts which appear in the tested N-sequence. The computational ...
ISSN Information: Print ISSN: 0018-9448 Electronic ISSN: 1557-9654
DOI: 10.1109/TIT.2007.909181
DOI: 10.1109/TIT.2007.909181
A device called the classifier (or discriminator) observes a training sequence whose probability law Q is unknown. The classifier's task is to consider a second ...
Bibliographic details on Classification With Finite Memory Revisited.
Classification with Finite Memory Revisited ... A device called a classifier observes an unknown probability law P on L-vectors from an alphabet of size A.
In this paper, we consider a class of infinitely repeated games with imperfect public monitoring. We look at strongly symmetric perfect public equilibria ...
PDFAs provide an excellent performance benchmark in that they can be systematically enumerated, the randomness and correlation structure of their generated ...
Oct 17, 2019 · We test the capability of generalized linear models, RCs, and Long Short-Term Memory (LSTM) RNN architectures to predict the stochastic ...
Nov 7, 2011 · We consider pairs of finite-length individual sequences that are ... [3] J.Ziv, “ Classification with finite memory revisited” IEEE Trans.
Gaussian Mixture Model Based Classification Revisited: Application to the Bearing Fault ... They have a lower footprint on memory usage in comparison with ...
The classification of SU(3) modular invariants revisited ... Dedicated to the memory of Claude Itzykson ... The (finite) sum in equation ( 1.1 ).