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» Learning Classes of Probabilistic Automata
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ALT
2008
Springer
13 years 9 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
LATA
2010
Springer
14 years 2 months ago
Three Learnable Models for the Description of Language
Abstract. Learnability is a vital property of formal grammars: representation classes should be defined in such a way that they are learnable. One way to build learnable represent...
Alexander Clark
ALT
2006
Springer
14 years 4 months ago
Learning Linearly Separable Languages
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
CVIU
2008
188views more  CVIU 2008»
13 years 7 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
DNA
2007
Springer
107views Bioinformatics» more  DNA 2007»
14 years 1 months ago
Autonomous Programmable Nanorobotic Devices Using DNAzymes
Abstract. A major challenge in nanoscience is the design of synthetic molecular devices that run autonomously and are programmable. DNA-based synthetic molecular devices have the a...
John H. Reif, Sudheer Sahu