Search results for "Coding theory"

showing 4 items of 4 documents

Taxonomic Classification for Living Organisms Using Convolutional Neural Networks

2017

Taxonomic classification has a wide-range of applications such as finding out more about evolutionary history. Compared to the estimated number of organisms that nature harbors, humanity does not have a thorough comprehension of to which specific classes they belong. The classification of living organisms can be done in many machine learning techniques. However, in this study, this is performed using convolutional neural networks. Moreover, a DNA encoding technique is incorporated in the algorithm to increase performance and avoid misclassifications. The algorithm proposed outperformed the state of the art algorithms in terms of accuracy and sensitivity, which illustrates a high potential f…

0301 basic medicinelcsh:QH426-470Taxonomic classificationADNCodificació Teoria de laBiologyBioinformaticsMachine learningcomputer.software_genreDNA; genes; taxonomic classification; convolutional neural networks; encodingConvolutional neural networkArticle03 medical and health sciences0302 clinical medicineBiologia -- ClassificacióEncoding (memory)convolutional neural networksGeneticstaxonomic classificationSensitivity (control systems)genesGenetics (clinical)ta113Biology -- Classificationbusiness.industryBiological classificationCoding theoryDNAencodinglcsh:Genetics030104 developmental biologyGenes030220 oncology & carcinogenesisEncodingConvolutional neural networksArtificial intelligenceCoding theorybusinesscomputerGens
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Prior Precision Modulates the Minimization of Auditory Prediction Error

2019

International audience; The predictive coding model of perception proposes that successful representation of the perceptual world depends upon canceling out the discrepancy between prediction and sensory input (i.e., prediction error). Recent studies further suggest a distinction to be made between prediction error triggered by non-predicted stimuli of different prior precision (i.e., inverse variance). However, it is not fully understood how prediction error with different precision levels is minimized in the predictive process. Here, we conducted a magnetoencephalography (MEG) experiment which orthogonally manipulated prime-probe relation (for contextual precision) and stimulus repetition…

Auditory perceptionrepetitionMean squared prediction errorSpeech recognitionmedia_common.quotation_subjectStimulus (physiology)050105 experimental psychologylcsh:RC321-571Cognitive Penetration[SCCO]Cognitive science03 medical and health sciencesBehavioral Neuroscience0302 clinical medicinePerceptual learningPerceptionmedicinemagnetoencephalography (MEG)0501 psychology and cognitive sciencesaivotutkimuspredictive codinglcsh:Neurosciences. Biological psychiatry. Neuropsychiatryennakointita515Biological PsychiatryOriginal ResearchVisual CortexMathematicsmedia_commonPredictive codingprediction errorMEGmedicine.diagnostic_testmagnetoencephalagraphy (MEG)[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesMagnetoencephalographykuuloauditory perceptionPsychiatry and Mental healthNeuropsychology and Physiological Psychologyhavainnointi ja aistiminenNeurologyMinificationtoistoärsykkeet030217 neurology & neurosurgeryNeuroscienceCoding TheoryFrontiers in Human Neuroscience
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On the subset sum problem for finite fields

2021

Abstract Let G be the additive group of a finite field. J. Li and D. Wan determined the exact number of solutions of the subset sum problem over G, by giving an explicit formula for the number of subsets of G of prescribed size whose elements sum up to a given element of G. They also determined a closed-form expression for the case where the subsets are required to contain only nonzero elements. In this paper we give an alternative proof of the two formulas. Our argument is purely combinatorial, as in the original proof by Li and Wan, but follows a different and somehow more “natural” approach. We also indicate some new connections with coding theory and combinatorial designs.

Discrete mathematicsAlgebra and Number TheoryApplied MathematicsGeneral EngineeringSubset sumFinite fieldCoding theoryExpression (computer science)Zero-sum setTheoretical Computer ScienceFinite fieldCombinatorial designSettore MAT/05 - Analisi MatematicaSubset sum problemSettore MAT/03 - GeometriaElement (category theory)Argument (linguistics)Subset sum problemZero sumsetAdditive groupMathematics
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An Analysis of Flash Page Reuse With WOM Codes

2018

Flash memory is prevalent in modern servers and devices. Coupled with the scaling down of flash technology, the popularity of flash memory motivates the search for methods to increase flash reliability and lifetime. Erasures are the dominant cause of flash cell wear, but reducing them is challenging because flash is a write-once medium— memory cells must be erased prior to writing. An approach that has recently received considerable attention relies on write-once memory (WOM) codes, designed to accommodate additional writes on write-once media. However, the techniques proposed for reusing flash pages with WOM codes are limited in their scope. Many focus on the coding theory alone, whereas o…

Hardware_MEMORYSTRUCTURESComputer sciencebusiness.industry020206 networking & telecommunications02 engineering and technologyCoding theoryEnergy consumptionReuseFlash memory020202 computer hardware & architectureFlash (photography)Hardware and ArchitectureServerEmbedded system0202 electrical engineering electronic engineering information engineeringbusinessFlash file systemGarbage collectionACM Transactions on Storage
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