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Softmax functionMinimax approximation algorithmMm algorithmLog-linear modelSmooth maximumMaximum likelihood estimationStochastic gradient descentNumerical linear algebraMollifierLogarithmic differentiationManifold regularizationLogarithmic normMean shiftConjugate gradient methodSequential minimal optimizationDelta ruleBiconjugate gradient methodLog-normal distributionLinear interpolationExponential smoothingGradient descentBilinear interpolationRelevance vector machineIndex calculus algorithmMultinomial logistic regressionLogarithmic distributionLaplace's methodPolynomial kernelApproximation theoryScoring algorithmMultiple integralHard sigmoidConvex conjugateLinear programmingMaximum principleRecursive least squares filterMaximum theoremSmoothnessMultiple-scale analysisRadial basis function kernelLagrange multiplierOseledets theoremGeneralized additive modelHilbert transformGradientLinear predictor functionGradient boostingAdjoint state methodPlatt scalingLogarithmic derivativeLogarithmic sobolev inequalitiesSpline interpolationHyperloglogExtended kalman filterResidual sum of squaresMultinomial theoremFeature learningSum-of-squares optimizationRegularized least squaresClenshaw algorithmLogarithmic integral functionSlide ruleLinear predictionAutomatic differentiationExponential integratorLegendre transformationModel of computationLinear differential equationSmoothed-particle hydrodynamicsLaplace operatorMatrix exponentialLearning rateEuler methodSupervised learningLambert w functionMilstein methodJacobi eigenvalue algorithmExtended finite element methodLog-logistic distributionLinear approximationElastic net regularizationMatrix differential equationLagrangian relaxationBackpropagationPoisson summation formulaConvex analysisImplicit function theoremDarboux integralLagrange inversion theoremMaximum weight matchingLogarithmic growthPolyharmonic splineEllipsoid methodTruncated newton methodMultivariable calculusLogarithmic meanLinear regressionRecursive bayesian estimationTrapezoidal ruleSemidefinite programming