Search results for "Mathematica"

showing 10 items of 7971 documents

Employing artificial neural networks to find reaction coordinates and pathways for self-assembly

2021

Capturing the autonomous self-assembly of molecular building blocks in computer simulations is a persistent challenge, requiring to model complex interactions and to access long time scales. Advanced sampling methods allow to bridge these time scales but typically require to construct accurate low-dimensional representations of the transition pathways. In this work, we demonstrate for the self-assembly of two single-stranded DNA fragments into a ring-like structure how autoencoder architectures based on unsupervised neural networks can be employed to reliably expose transition pathways and to provide a suitable low-dimensional representation. The assembly occurs as a two-step process throug…

Structure (mathematical logic)Theoretical computer scienceArtificial neural networkMarkov chainExploitComputer scienceProcess (computing)Construct (python library)Representation (mathematics)Autoencoder
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Preventing Overlaps in Agglomerative Hierarchical Conceptual Clustering

2020

Hierarchical Clustering is an unsupervised learning task, whi-ch seeks to build a set of clusters ordered by the inclusion relation. It is usually assumed that the result is a tree-like structure with no overlapping clusters, i.e., where clusters are either disjoint or nested. In Hierarchical Conceptual Clustering (HCC), each cluster is provided with a conceptual description which belongs to a predefined set called the pattern language. Depending on the application domain, the elements in the pattern language can be of different nature: logical formulas, graphs, tests on the attributes, etc. In this paper, we tackle the issue of overlapping concepts in the agglomerative approach of HCC. We …

Structure (mathematical logic)Theoretical computer scienceComputer scienceConceptual clustering02 engineering and technologyDisjoint setsHierarchical clusteringSet (abstract data type)Pattern language (formal languages)ComputingMethodologies_PATTERNRECOGNITIONApplication domain020204 information systems0202 electrical engineering electronic engineering information engineeringUnsupervised learning020201 artificial intelligence & image processing
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A Concept for Quantitative Comparison of Mathematical and Natural Language and its possible Effect on Learning

2017

Starting with the question whether there is a connection between the mathematical capabilities of a person and his or her mother tongue, we introduce a new modeling approach to quantitatively compare natural languages with mathematical language. The question arises from educational assessment studies that indicate such a relation. Texts written in natural languages can be deconstructed into a dependence graph, in simple cases a dependence tree. The same kind of deconstruction is also possible for mathematical texts. This gives an idea of how to quantitatively compare mathematical and natural language. To that end, we develop algorithms to define the distance between graphs. In this paper, w…

Structure (mathematical logic)Theoretical computer scienceDistance matrixRelation (database)Simple (abstract algebra)Computer scienceFirst languageLanguage of mathematicsTree (graph theory)Natural language
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Multiple Hypotheses Testing

1993

The paper is mainly concerned with multiple testing procedures which control a given multiple level α. General concepts for this purpose are the closure test and a modification which is independent of the special structure of hypotheses and tests. We consider improvements of this modification using information about the logical dependences (redundancies) within the system of hypotheses and present an efficient algorithm. Finally, we discuss some problems which are specific for hierarchical systems of hypotheses, e.g. in model search.

Structure (mathematical logic)Theoretical computer scienceEfficient algorithmComputer scienceMultiple comparisons problemMultiple hypothesesClosure (topology)Control (linguistics)Test (assessment)
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Applying Finite State Process Algebra to Formally Specify a Computational Model of Security Requirements in the Key2phone-Mobile Access Solution

2015

Key2phone is a mobile access solution which turns mobile phone into a key for electronic locks, doors and gates. In this paper, we elicit and analyse the essential and necessary safety and security requirements that need to be considered for the Key2phone interaction system. The paper elaborates on suggestions/solutions for the realisation of safety and security concerns considering the Internet of Things (IoT) infrastructure. The authors structure these requirements and illustrate particular computational solutions by deploying the Labelled Transition System Analyser (LTSA), a modelling tool that supports a process algebra notation called Finite State Process (FSP). While determining an in…

Structure (mathematical logic)Theoretical computer scienceFinite-state machineComputer sciencebusiness.industryMobile phoneRealisationProcess calculusTransition systemKey (cryptography)Software engineeringbusinessNotation
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Special interpretation of formal measurement scales for the case of multiple heterogeneous properties

2001

A formal model of measurement is constructed and its components are outlined in this paper. An integrated hierarchical formal four-level structure which allows description of the multiple heterogeneous properties of a complex object under measurement is developed in order to have a uniform tool for the selection of specific scales for the measurement of these properties. A special treatment of a measurement scale defined on the space of the object states is offered, and corresponding structures of basic types of scales are explained permitting to take into consideration distances between relations on these states. Our approach can serve as the uniform formalised basis for development of mea…

Structure (mathematical logic)Theoretical computer scienceInterpretation (logic)Basis (linear algebra)business.industryApplied MathematicsSystem of measurementCondensed Matter PhysicsObject (computer science)Space (mathematics)Development (topology)Selection (linguistics)Artificial intelligenceElectrical and Electronic EngineeringbusinessInstrumentationMathematicsMeasurement
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A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms

2014

The file attached to this record is the author's final peer reviewed version. The publisher's final version can be found by following the DOI link. The ensemble structure is a computational intelligence supervised strategy consisting of a pool of multiple operators that compete among each other for being selected, and an adaptation mechanism that tends to reward the most successful operators. In this paper we extend the idea of the ensemble to multiple local search logics. In a memetic fashion, the search structure of an ensemble framework cooperatively/competitively optimizes the problem jointly with a pool of diverse local search algorithms. In this way, the algorithm progressively adapts…

Structure (mathematical logic)Theoretical computer sciencebusiness.industryComputer scienceMeta-heuristicsComputational intelligenceAdaptive algorithmsDifferential evolutionLocal search (optimization)OptimisationDifferential evolutionAdaptation (computer science)businessGlobal optimizationAlgorithmMetaheuristicEnsembleMemetic ComputingCurse of dimensionality
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A Unified Approach to Portfolio Optimization with Linear Transaction Costs

2004

In this paper we study the continuous time optimal portfolio selection problem for an investor with a finite horizon who maximizes expected utility of terminal wealth and faces transaction costs in the capital market. It is well known that, depending on a particular structure of transaction costs, such a problem is formulated and solved within either stochastic singular control or stochastic impulse control framework. In this paper we propose a unified framework, which generalizes the contemporary approaches and is capable to deal with any problem where transaction costs are a linear/piecewise-linear function of the volume of trade. We also discuss some methods for solving numerically the p…

Structure (mathematical logic)Transaction costMathematical optimizationComputer sciencejel:C63General Mathematicsjel:C61Function (mathematics)Management Science and Operations ResearchSingular controljel:G11Merton's portfolio problemEconomicsPortfolioPortfolio optimizationportfolio choice transaction costs stochastic singular control stochastic impulse control computational methodsSoftwareExpected utility hypothesisSSRN Electronic Journal
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Mental Account Barriers and Transaction Purpose: A Romanian Point of View

2013

Abstract The present study encompasses the behavioral model of decision making. Using the models provided by scientific literature, the relationship between the basic structure of mental accounts, transaction utility and consumer decision, together with perceived comfortability. The procedure was carried out using undergraduate students of Lucian Blaga University of Sibiu, with similar proportions of sexes and with resembling ages. Results have shown that influence of mental accounting structuring and transaction utility on decision and perceived comfortability is insignificant, taken into account the differences between sexes. The presented results bring knowledge into the economic behavio…

Structure (mathematical logic)Transaction utilityMental accountingMental accountingRomanianScientific literatureBehavioral economicsStructuringlanguage.human_languageBehavioral modelingBehavioral economicslanguageGeneral Materials ScienceConsumer decisionPsychologyDatabase transactionSocial psychologyProcedia - Social and Behavioral Sciences
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An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling

2017

The goal of modeling sentences is to accurately represent their meaning for different tasks. A variety of deep learning architectures have been proposed to model sentences, however, little is known about their comparative performance on a common ground, across a variety of datasets, and on the same level of optimization. In this paper, we provide such a novel comparison for two popular architectures, Recursive Neural Tensor Networks (RNTNs) and Convolutional Neural Networks (CNNs). Although RNTNs have been shown to work well in many cases, they require intensive manual labeling due to the vanishing gradient problem. To enable an extensive comparison of the two architectures, this paper empl…

Structure (mathematical logic)Vanishing gradient problemPhrasebusiness.industryComputer scienceDeep learning05 social sciencesPattern recognition010501 environmental sciences01 natural sciencesConvolutional neural networkSet (abstract data type)0502 economics and businessBenchmark (computing)Artificial intelligence050207 economicsbusinessSentence0105 earth and related environmental sciences
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