Search results for "basis"

showing 10 items of 760 documents

Theoretical rotational constants of MeCnN species

1990

Abstract By means of SCF HF “ab initio” calculations with STO-3G and 6-31G basis sets, the geometric parameters of methylcyanopolyynes (MeCnN n=3, 5, 7 and 9) have been obtained. B0=0.3748 GHz for MeC7N and B0=0.2708 GHz for MeC9N, with a STO-3G basis set, were obtained. Both species, unstable in the laboratory, are still undetected in the interstellar medium, although their existence is very probable.

Interstellar mediumchemistry.chemical_compoundCondensed matter physicsBasis (linear algebra)NitrileChemistryGaussian orbitalAb initioGeneral Physics and AstronomyRotational spectroscopyPhysical and Theoretical ChemistryMolecular physicsBasis setChemical Physics Letters
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Learning with the kernel signal to noise ratio

2012

This paper presents the application of the kernel signal to noise ratio (KSNR) in the context of feature extraction to general machine learning and signal processing domains. The proposed approach maximizes the signal variance while minimizes the estimated noise variance in a reproducing kernel Hilbert space (RKHS). The KSNR can be used in any kernel method to deal with correlated (possibly non-Gaussian) noise. We illustrate the method in nonlinear regression examples, dependence estimation and causal inference, nonlinear channel equalization, and nonlinear feature extraction from high-dimensional satellite images. Results show that the proposed KSNR yields more fitted solutions and extract…

Kernel methodSignal-to-noise ratioKernel embedding of distributionsPolynomial kernelbusiness.industryVariable kernel density estimationKernel (statistics)Radial basis function kernelPattern recognitionArtificial intelligencebusinessKernel principal component analysisMathematics2012 IEEE International Workshop on Machine Learning for Signal Processing
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Predicting the structure and vibrational frequencies of ethylene using harmonic and anharmonic approaches at the Kohn–Sham complete basis set limit

2016

In this work, regular convergence patterns of the structural, harmonic, and VPT2-calculated anharmonic vibrational parameters of ethylene towards the Kohn–Sham complete basis set (KS CBS) limit are demonstrated for the first time. The performance of the VPT2 scheme implemented using density functional theory (DFT-BLYP and DFT-B3LYP) in combination with two Pople basis sets (6-311++G** and 6-311++G(3df,2pd)), the polarization-consistent basis sets pc-n, aug-pc-n, and pcseg-n (n = 0, 1, 2, 3, 4), and the correlation-consistent basis sets cc-pVXZ and aug-cc-pVXZ (X = D, T, Q, 5, 6) was tested. The BLYP-calculated harmonic frequencies were found to be markedly closer than the B3LYP-calculated h…

Kohn–Sham equationsAnharmonic vibrationPolarization-consistent basis sets010402 general chemistry01 natural sciencesDFTSTO-nG basis setsCatalysisCBSInorganic ChemistryEthyleneQuantum mechanicsCorrelation-consistent basis sets0103 physical sciencesLimit (mathematics)Physical and Theoretical ChemistryVPT2Basis setPhysicsOriginal Paper010304 chemical physicsBasis (linear algebra)AnharmonicityOrganic Chemistry0104 chemical sciencesComputer Science ApplicationsComputational Theory and MathematicsHarmonicDensity functional theoryJournal of Molecular Modeling
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A formal proof of the e-optimality of discretized pursuit algorithms

2015

Learning Automata (LA) can be reckoned to be the founding algorithms on which the field of Reinforcement Learning has been built. Among the families of LA, Estimator Algorithms (EAs) are certainly the fastest, and of these, the family of discretized algorithms are proven to converge even faster than their continuous counterparts. However, it has recently been reported that the previous proofs for ??-optimality for all the reported algorithms for the past three decades have been flawed. We applaud the researchers who discovered this flaw, and who further proceeded to rectify the proof for the Continuous Pursuit Algorithm (CPA). The latter proof examines the monotonicity property of the proba…

Learning automataDiscretizationInequalityBasis (linear algebra)Computer sciencemedia_common.quotation_subjectField (mathematics)Monotonic function02 engineering and technologyMathematical proofFormal proof020202 computer hardware & architectureAlgebraArtificial Intelligence0202 electrical engineering electronic engineering information engineeringReinforcement learning020201 artificial intelligence & image processingAlgorithmmedia_common
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Distributed learning automata for solving a classification task

2016

In this paper, we propose a novel classifier in two-dimensional feature spaces based on the theory of Learning Automata (LA). The essence of our scheme is to search for a separator in the feature space by imposing a LA based random walk in a grid system. To each node in the gird we attach an LA, whose actions are the choice of the edges forming the separator. The walk is self-enclosing, i.e, a new random walk is started whenever the walker returns to starting node forming a closed classification path yielding a many edged polygon. In our approach, the different LA attached at the different nodes search for a polygon that best encircles and separates each class. Based on the obtained polygon…

Learning automataFeature vector020206 networking & telecommunications02 engineering and technologySupport vector machinesymbols.namesakeKernel methodKernel (statistics)PolygonRadial basis function kernel0202 electrical engineering electronic engineering information engineeringGaussian functionsymbols020201 artificial intelligence & image processingAlgorithmMathematics2016 IEEE Congress on Evolutionary Computation (CEC)
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Adaptive algorithms robust to impulsive noise with low computational cost using order statistic

2009

Abstract In this paper a family of adaptive algorithms robust to impulsive noise and with low computational cost are presented. Unlike other approaches, no cost functions or filtering of the gradient are considered in order to update the filter coefficients. Its initial basis is the basic LMS algorithm and its sign-error variant. The proposed algorithms can be considered as some sign-error variants of the LMS algorithm. The algorithms are successfully tested in terms of accuracy and convergence in a standard system identification simulation in which an impulsive noise is present. Simulations show that they improve the performance of LMS variants that are robust to impulsive noise.

Least mean squares filterNoiseFilter designIdentification (information)Basis (linear algebra)Control theoryComputer scienceOrder statisticGeneral MedicineFilter (signal processing)Hardware_ARITHMETICANDLOGICSTRUCTURESAlgorithm
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Dictionnaire Bilingue, Syntaxe et Sémantique

1995

We have first shown that the conventional and theoretical lexicography has always had a semantic basis which does not permit homogeneous analysis of the items which constitute the entries. We present in this paper a model of bilingual dictionary whose fundamental principles are syntactical. This dictionary is an application of the methods of the Lexique-grammaire des langues romanes adapted to contrastive viewpoint. This contrastive aim implicates that we have to make specific analytic distinctions which we comment here. On the one hand, from a theoretical standpoint, this dictionary may help to establish suitable basis of systematic contrastive (French/Spanish) linguistics, and on the othe…

Linguistics and LanguageBasis (linear algebra)business.industryComputer scienceHomogeneousBilingual dictionaryArtificial intelligencebusinesscomputer.software_genrecomputerNatural language processingLinguisticsLexicographyLingvisticæ Investigationes. International Journal of Linguistics and Language Resources
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Variational measures related to local systems and the Ward propery of P-adic path bases

2006

Some properties of absolutely continuous variational measures associated with local systems of sets are established. The classes of functions generating such measures are described. It is shown by constructing an example that there exists a P-adic path system that defines a differentiation basis which does not possess Ward property.

Local system P-adic system differentiation basis variational measure Ward property.
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Effect ofmconbquark chromomagnetic interaction and on-shell two-loop integrals with two masses

1999

The effect of non-zero c quark mass on b quark HQET Lagrangian, up to 1/mb level, is calculated at two loops. The results are expressed in terms of dilogarithmic functions of mc/mb. This calculation involves on-shell two-loop propagator-type diagrams with two different masses, mb and mc. A general algorithm for reducing such Feynman integrals to the basis of two nontrivial and two trivial integrals is constructed.

Loop (topology)PhysicsNuclear and High Energy PhysicsParticle physicsBasis (linear algebra)BibliographyShell (structure)PropagatorCharm (quantum number)Bottom quarkCharm quarkPhysical Review D
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Degradation of Carotenoids in Apricot (Prunus armeniaca L.) During Drying Process

2013

"Carotenoids are natural compounds whose nutritional importance comes from the provitamin A activity of some of them and their protection against several serious human disorders. The degradation of carotenoids was investigated during apricot drying by microwave and convective hot-air at 60 and 70 A degrees C. Seven carotenoids were identified: antheraxanthin, lutein, zeaxanthin, beta-cryptoxanthin, 13-cis-beta-carotene, all-trans-beta-carotene and 9-cis-beta-carotene; among these, all-trans-beta-carotene was found to be about 50 % of total carotenoids. First-order kinetic models were found to better describe all-trans-beta-carotene reduction during drying, with a degradation rate constant (…

LuteinHot TemperatureFood HandlingDry basisXanthophyllschemistry.chemical_compoundDrug StabilityIsomerismZeaxanthinsBotanyFood scienceDesiccationCarotenoidCryptoxanthinschemistry.chemical_classificationbiologyAntheraxanthinLuteinPlant physiologybiology.organism_classificationbeta CarotenePrunus armeniacaCarotenoidsZeaxanthinKineticschemistryChemistry (miscellaneous)FruitDegradation (geology)PrunusNutritive ValueBiomarkersFood Science
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