Search results for " Complexity"

showing 10 items of 623 documents

Positive Versions of Polynomial Time

1998

Abstract We show that restricting a number of characterizations of the complexity class P to be positive (in natural ways) results in the same class of (monotone) problems, which we denote by posP . By a well-known result of Razborov, posP is a proper subclass of the class of monotone problems in P . We exhibit complete problems for posP via weak logical reductions, as we do for other logically defined classes of problems. Our work is a continuation of research undertaken by Grigni and Sipser, and subsequently Stewart; indeed, we introduce the notion of a positive deterministic Turing machine and consequently solve a problem posed by Grigni and Sipser.

Class (set theory)Computational complexity theoryAlgorithmic logicTheoretical Computer ScienceComputer Science ApplicationsCombinatoricsTuring machinesymbols.namesakeMonotone polygonNon-deterministic Turing machineComputational Theory and MathematicsComplexity classsymbolsTime complexityMathematicsInformation Systems
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Noise-tolerant efficient inductive synthesis of regular expressions from good examples

1997

We present an almost linear time method of inductive synthesis restoring simple regular expressions from one representative (good) example. In particular, we consider synthesis of expressions of star-height one, where we allow one union operation under each iteration, and synthesis of expressions without union operations from examples that may contain mistakes. In both cases we provide sufficient conditions defining precisely the class of target expressions and the notion of good examples under which the synthesis algorithm works correctly, and present the proof of correctness. In the case of expressions with unions the proof is based on novel results in the combinatorics of words. A genera…

Class (set theory)CorrectnessComputer programComputer Networks and CommunicationsComputer scienceComputer experimentTheoretical Computer ScienceHardware and ArchitectureSimple (abstract algebra)Regular expressionTime complexityAlgorithmSoftwareProgram synthesisNew Generation Computing
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Efficient learning of regular expressions from good examples

1994

We consider the problem of restoring regular expressions from expressive examples. We define the class of unambiguous regular expressions, the notion of the union number of an expression showing how many union operations can occur directly under any single iteration, and the notion of an expressive example. We present a polynomial time algorithm which tries to restore an unambiguous regular expression from one expressive example. We prove that if the union number of the expression is 0 or 1 and the example is long enough, then the algorithm correctly restores the original expression from one good example. The proof relies on original investigations in theory of covering symbol sequences (wo…

Class (set theory)Theoretical computer scienceRegular languageRegular expressionInductive reasoningComputer experimentAlgorithmTime complexityExpression (mathematics)Symbol (chemistry)Mathematics
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Knot Theory, Jones Polynomial and Quantum Computing

2005

Knot theory emerged in the nineteenth century for needs of physics and chemistry as these needs were understood those days. After that the interest of physicists and chemists was lost for about a century. Nowadays knot theory has made a comeback. Knot theory and other areas of topology are no more considered as abstract areas of classical mathematics remote from anything of practical interest. They have made deep impact on quantum field theory, quantum computation and complexity of computation.

Classical mathematicsPure mathematicsComputer scienceComputationCalculusJones polynomialQuantum field theoryMathematics::Geometric TopologyTime complexityPhysics::History of PhysicsTopology (chemistry)Quantum computerKnot theory
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A local complexity based combination method for decision forests trained with high-dimensional data

2012

Accurate machine learning with high-dimensional data is affected by phenomena known as the “curse” of dimensionality. One of the main strategies explored in the last decade to deal with this problem is the use of multi-classifier systems. Several of such approaches are inspired by the Random Subspace Method for the construction of decision forests. Furthermore, other studies rely on estimations of the individual classifiers' competence, to enhance the combination in the multi-classifier and improve the accuracy. We propose a competence estimate which is based on local complexity measurements, to perform a weighted average combination of the decision forest. Experimental results show how thi…

Clustering high-dimensional dataComputational complexity theorybusiness.industryComputer scienceDecision treeMachine learningcomputer.software_genreRandom forestRandom subspace methodArtificial intelligenceData miningbusinessCompetence (human resources)computerClassifier (UML)Curse of dimensionality2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)
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More Support for More-Support

2009

This book provides the most comprehensive account so far of novel and hitherto unexplained factors operative in the choice between synthetic ( prouder ) and analytic ( more proud ) comparatives. It argues that the underlying motivation in using the analytic variant is to mitigate processing demands – a compensatory strategy referred to as more -support. The analytic variant is claimed to be better suited to environments of increased processing complexity – presumably owing to its ability to facilitate early phrase structure recognition, the more transparent one-to-one relation between form and function and possibly because the degree marker more can serve as a structural signal foreshadowin…

Cognitive scienceBridging (networking)Variation (linguistics)Relation (database)Computer scienceForm and functionPhrase structure rulesCognitive complexity
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Overt and hidden complexity – Two types of complexity and their implications

2014

AbstractLinguistic complexity is the result of the two motivations of explicitness and economy. Most approaches focus on the exlpicitness side of complexity (overt complexity) but there is also an explicitness-oriented side to complexity (hidden complexity). The aim of the paper is to introduce hidden complexity as the neglected side of complexity and to discuss the issues of trade-offs, global complexity and equal complexity from a more encompassing perspective that integrates overt and hidden complexity.

Cognitive scienceCommunicationLinguistic sequence complexitybusiness.industryComputer sciencePerspective (graphical)PragmaticsbusinessLinguisticsFocus (linguistics)Poznan Studies in Contemporary Linguistics
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MINIMALIST THEORY OF FICTION AND THE ICTHINKING® METHOD AS A BACKGROUND FOR NEW INSIGHTS TO AUTISM

2021

The standard approach to conceptual understanding in the case of autism uses the distinction of abstract versus concrete thinking. This approach has its benefits but fails to explain all features of language use. For example, some concepts change their meaning in different contexts in contrast to concepts that are more rigid in their uses, such as mathematical concepts. This idea has its background in Minimalist theory of fiction (MTF), a theory that considers ‘skills to use words’ essential for understanding fiction, contrasting with theories that require pretending or make believe to understand fiction. From this background, the theory of Integrative Complexity (IC), and the method animat…

Cognitive scienceEducational methodintegrative complexityfiktioIntegrative complexityPsychological interventionautismfictionMetacognitionContrast (statistics)merkitykset (semantiikka)medicine.diseasekäsitteetmetakognitiokielellinen kehitysautismimedicineAutismmentalisaatiokielipelitMeaning (existential)kognitiivinen kehitysPsychologymetacognitionmake.believeEuropean Journal of Special Education Research
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Swarming Models for Facilitating Collaborative Decisions

2010

The paper highlights the computational power of swarming models (i.e., stigmergic mechanisms) to build collaborative support systems for complex cognitive tasks such as facilitation of group decision processes (GDP) in e-meetings. Unlike traditional approaches that minimize the cognitive complexity by incorporating the facilitation knowledge into the system, stigmergic coordination mechanisms minimize the complexity by providing the system with emergent functionalities that are shaped by the environment itself through the possibility to structure it in terms of high-level cognitive artefacts. This is illustrated by conducting a socio-simulation experiment for an envisioned collaborative sof…

Collaborative softwareElementary cognitive taskComputer Networks and CommunicationsComputer sciencebusiness.industryCognitive complexityCognitionStigmergyComputer Science ApplicationsComputational Theory and MathematicsHuman–computer interactionFacilitationSupport systemArtificial intelligencebusinessSocial simulationInternational Journal of Computers Communications & Control
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Exceptional Configurations of Quantum Walks with Grover’s Coin

2016

We study search by quantum walk on a two-dimensional grid using the algorithm of Ambainis, Kempe and Rivosh [AKR05]. We show what the most natural coin transformation -- Grover's diffusion transformation -- has a wide class of exceptional configurations of marked locations, for which the probability of finding any of the marked locations does not grow over time. This extends the class of known exceptional configurations; until now the only known such configuration was the "diagonal construction" by [AR08].

CombinatoricsClass (set theory)Transformation (function)DiagonalQuantum walkComputer Science::Computational ComplexityGridMathematics
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