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» A stochastic memoizer for sequence data
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IJRR
2002
98views more  IJRR 2002»
13 years 5 months ago
Robust Mapping and Localization in Indoor Environments Using Sonar Data
In this paper we describe a new technique for the creation of featurebased stochastic maps using standard Polaroid sonar sensors. The fundamental contributions of our proposal are...
Juan D. Tardós, José Neira, Paul M. ...
BIBE
2006
IEEE
119views Bioinformatics» more  BIBE 2006»
13 years 12 months ago
Large Grain Size Stochastic Optimization Alignment
DNA sequence alignment is a critical step in identifying homology between organisms. The most widely used alignment program, ClustalW, is known to suffer from the local minima pro...
Perry Ridge, Hyrum Carroll, Dan Sneddon, Mark J. C...
ALT
2008
Springer
13 years 7 months ago
Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor
Abstract. We consider the problem of sequence prediction in a probabilistic setting. Let there be given a class C of stochastic processes (probability measures on the set of one-wa...
Daniil Ryabko
NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 4 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
ISMB
1994
13 years 7 months ago
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
Hiroshi Mamitsuka, Naoki Abe