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Longer titles found: Least-squares function approximation (view)

searching for Function approximation 60 found (99 total)

Envelope (waves) (1,844 words) [view diff] exact match in snippet view article

259. ISBN 0126077444. Christian Schüller (2006). "§2.4.1 Envelope function approximation (EFA)". Inelastic Light Scattering of Semiconductor Nanostructures:

Reinforcement learning (8,293 words) [view diff] exact match in snippet view article find links to article

powerful: the use of samples to optimize performance, and the use of function approximation to deal with large environments. Thanks to these two key components

Liquid state machine (531 words) [view diff] no match in snippet view article find links to article

A liquid state machine (LSM) is a type of reservoir computer that uses a spiking neural network. An LSM consists of a large collection of units (called

Physics-informed neural networks (4,952 words) [view diff] exact match in snippet view article find links to article

of admissible solutions, increasing the generalizability of the function approximation. This way, embedding this prior information into a neural network

Universal approximation theorem (5,190 words) [view diff] exact match in snippet view article find links to article

properties is sufficient for universal function approximation on bounded graphs and restricted universal function approximation on unbounded graphs, with an accompanying

Discovery Studio (884 words) [view diff] exact match in snippet view article find links to article

regression, partial least squares, recursive partitioning, Genetic Function approximation and 3D field-based QSAR ADME Predictive toxicity Molecular Mechanics

Random neural network (1,063 words) [view diff] exact match in snippet view article find links to article

15, (2), 147–155, 1997. E. Gelenbe, Z. H. Mao, and Y. D. Li, "Function approximation with the random neural network", IEEE Trans. Neural Networks, 10

Majority function (680 words) [view diff] no match in snippet view article find links to article

Avner; Pitassi, Toniann (2006). "Monotone Circuits for the Majority Function". Approximation, Randomization, and Combinatorial Optimization. Algorithms and

Shalabh Bhatnagar (753 words) [view diff] case mismatch in snippet view article find links to article

Prashanth; Bhatnagar, Shalabh (June 2011). "Reinforcement Learning With Function Approximation for Traffic Signal Control". IEEE Transactions on Intelligent Transportation

Kansa method (1,964 words) [view diff] exact match in snippet view article find links to article

which was then quite popular in scattered data processing and function approximation, to the solution of partial differential equations in the strong-form

Exponential integral (3,488 words) [view diff] case mismatch in snippet view article find links to article

Stegun, p. 229, 5.1.24 Giao, Pham Huy (2003-05-01). "Revisit of Well Function Approximation and An Easy Graphical Curve Matching Technique for Theis' Solution"

Architectural design optimization (3,239 words) [view diff] exact match in snippet view article find links to article

architects. Wortmann, Thomas (2019-07-01). "Genetic evolution vs. function approximation: Benchmarking algorithms for architectural design optimization"

Jerome H. Friedman (478 words) [view diff] exact match in snippet view article find links to article

1214/aos/1176347963. JSTOR 2241837. Friedman, Jerome H. (2001). "Greedy function approximation: a gradient boosting machine". Annals of Statistics. 29 (5): 1189–1232

G-network (1,215 words) [view diff] exact match in snippet view article find links to article

1016/S0377-2217(99)00476-2. Gelenbe, Erol; Mao, Zhi-Hong; Da Li, Yan (1999). "Function approximation with spiked random networks". IEEE Transactions on Neural Networks

Topological index (1,229 words) [view diff] exact match in snippet view article find links to article

of phenylsulfonyl carboxylates to Vibrio fischeri using genetic function approximation". Bioorganic & Medicinal Chemistry. 13 (4): 1185–94. doi:10.1016/j

Sinc numerical methods (444 words) [view diff] exact match in snippet view article find links to article

_{k=-M}^{N}f(kh)\,{\textrm {sinc}}\left({\dfrac {x}{h}}-k\right)} . function approximation, approximation of derivatives, approximate definite and indefinite

Silvia Ferrari (1,445 words) [view diff] exact match in snippet view article find links to article

and different perspective. S. Ferrari, and R.F. Stengel. "Smooth function approximation using neural networks". IEEE Xplore. Silvia Ferrari and Robert F

Bart Kosko (1,052 words) [view diff] exact match in snippet view article find links to article

Kosko, Bart (August 2001). "The shape of fuzzy sets in adaptive function approximation". IEEE Transactions on Fuzzy Systems. 9 (4): 249–255. doi:10.1109/91

Huber loss (1,098 words) [view diff] case mismatch in snippet view article find links to article

gradient descent algorithms. ICML. Friedman, J. H. (2001). "Greedy Function Approximation: A Gradient Boosting Machine". Annals of Statistics. 26 (5): 1189–1232

Cerebellar model articulation controller (1,137 words) [view diff] exact match in snippet view article find links to article

CMAC receptive field functions produce discontinuous staircase function approximation, by integrating CMAC with B-splines functions, continuous CMAC offers

Continuous-variable quantum information (2,427 words) [view diff] exact match in snippet view article find links to article

equations with the Feynman–Kac formula, initial value problems, function approximation, high-dimensional integration and quantum cryptography. Quantum

Activation function (1,961 words) [view diff] case mismatch in snippet view article find links to article

Kenji (2018). "Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning". Neural Networks. 107: 3–11. arXiv:1702

Swish function (737 words) [view diff] case mismatch in snippet view article find links to article

(2017-11-02). "Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning". arXiv:1702.03118v3 [cs.LG]. Serengil

Product-form solution (1,817 words) [view diff] exact match in snippet view article find links to article

S2CID 38667978. Gelenbe, Erol; Mao, Zhi-Hong; Li, Yan-Da (1991). "Function approximation with the random neural network". IEEE Transactions on Neural Networks

Phase Transitions and Critical Phenomena (1,295 words) [view diff] case mismatch in snippet view article find links to article

of Fluids', by G. Stell. 'Heisenberg Ferromagnet in the Green's Function Approximation', by R.A. Tahir-Kheli. 'Thermal Measurements and Critical Phenomena

Basis (linear algebra) (4,751 words) [view diff] exact match in snippet view article

Y.-H. (1995). "Stochastic choice of basis functions in adaptive function approximation and the functional-link net". IEEE Trans. Neural Netw. 6 (6): 1320–1329

Deep backward stochastic differential equation method (4,113 words) [view diff] exact match in snippet view article find links to article

derivatives pricing and risk management. By leveraging the powerful function approximation capabilities of deep neural networks, deep BSDE addresses the computational

Binomial distribution (7,602 words) [view diff] exact match in snippet view article find links to article

Binomial probability mass function and normal probability density function approximation for n = 6 and p = 0.5

Optimal control (4,742 words) [view diff] exact match in snippet view article find links to article

or the control, or both, are approximated using an appropriate function approximation (e.g., polynomial approximation or piecewise constant parameterization)

Stock market prediction (2,738 words) [view diff] exact match in snippet view article find links to article

ANNs and stock prediction is that a classification approach (vs. function approximation) using outputs in the form of buy (y=+1) and sell (y=-1) results

Position of the Sun (3,398 words) [view diff] exact match in snippet view article find links to article

declination near the September equinox by up to +1.5°. The sine function approximation by itself leads to an error of up to 0.26° and has been discouraged

Deep reinforcement learning (2,929 words) [view diff] exact match in snippet view article find links to article

suffers from high variance, making it impractical for use with function approximation in deep RL. Subsequent algorithms have been developed for more stable

Learning to rank (4,442 words) [view diff] case mismatch in snippet view article find links to article

2018-06-13, retrieved 2020-10-12 Friedman, Jerome H. (2001). "Greedy Function Approximation: A Gradient Boosting Machine". The Annals of Statistics. 29 (5):

Gradient boosting (4,259 words) [view diff] case mismatch in snippet view article find links to article

California, Berkeley. Friedman, J. H. (February 1999). "Greedy Function Approximation: A Gradient Boosting Machine" (PDF). Archived from the original

Least-squares spectral analysis (3,354 words) [view diff] exact match in snippet view article find links to article

and P. S. Krishnaprasad, "Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition," in Proc. 27th Asilomar

Perceptual computing (1,330 words) [view diff] exact match in snippet view article find links to article

constraint is the major difference between perceptual computing and function approximation applications of FSs and systems. Chai K.C.; Tay K. M.; Lim C.P.

Generative model (2,431 words) [view diff] exact match in snippet view article find links to article

the target attribute Y. Mitchell 2015: "Logistic Regression is a function approximation algorithm that uses training data to directly estimate P ( Y ∣ X

Lina Jamil Karam (1,423 words) [view diff] exact match in snippet view article find links to article

James H. McClellan. As part of her PhD work, she introduced a new function approximation theory that enabled the development of a new efficient algorithm

Deep learning (18,121 words) [view diff] exact match in snippet view article find links to article

high-dimensional problems in financial mathematics. By leveraging the powerful function approximation capabilities of deep neural networks, deep BSDE addresses the computational

Trajectory optimization (3,522 words) [view diff] exact match in snippet view article find links to article

method (Simultaneous Method) A transcription method that is based on function approximation, typically using implicit Runge--Kutta schemes. Pseudospectral method

Normal distribution (21,755 words) [view diff] no match in snippet view article find links to article

in Shore (2005). Some more approximations can be found at: Error function#Approximation with elementary functions. In particular, small relative error on

Matching pursuit (2,176 words) [view diff] exact match in snippet view article find links to article

Krishnaprasad, P. (1993). "Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition". Proceedings of 27th

Backward stochastic differential equation (613 words) [view diff] exact match in snippet view article find links to article

problems in financial mathematics problems. By leveraging the powerful function approximation capabilities of deep neural networks, deep BSDE addresses the computational

Binade (454 words) [view diff] exact match in snippet view article find links to article

"A general-purpose method for faithfully rounded floating-point function approximation in FPGAs". 22nd IEEE Symposium on Computer Arithmetic. ARITH 2015

Quantum-confined Stark effect (2,780 words) [view diff] exact match in snippet view article find links to article

the associated wavefunctions can be written using the envelope function approximation as follows: ψ ( r ) = ϕ n ( z ) 1 A e i ( k x ⋅ x + k y ⋅ y ) u

Neural coding (8,560 words) [view diff] exact match in snippet view article find links to article

P. S. (November 1993). "Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition". Proceedings of 27th

Evolving intelligent system (2,223 words) [view diff] exact match in snippet view article find links to article

and M. J. Er, "Dynamic fuzzy neural networks-a novel approach to function approximation". in IEEE Transactions on Systems, Man, and Cybernetics, Part B

Erol Gelenbe (3,719 words) [view diff] exact match in snippet view article find links to article

28 (3): 656–663 (Sep. 1991). E. Gelenbe, Mao, Z.H., Li, Y.D. "Function approximation with spiked random networks", IEEE Trans. on Neural Networks, 10

Nonlinear system identification (3,454 words) [view diff] exact match in snippet view article find links to article

approximation properties but these are usually based on standard function approximation results using for example the Weierstrass Theorem that applies equally

Frank L. Lewis (1,446 words) [view diff] exact match in snippet view article find links to article

Lyapunov Stability Theory, passivity, and nonlinear-in-the-parameters function approximation to invent novel feedback structures and parameter tuning laws that

Gene expression programming (6,491 words) [view diff] exact match in snippet view article find links to article

instance, these numerical constants may be the weights or factors in a function approximation problem (see the GEP-RNC algorithm below); they may be the weights

One-shot learning (computer vision) (4,136 words) [view diff] exact match in snippet view article

not be well-peaked, as is assumed in a δ {\displaystyle \delta } function approximation. Thus instead of this traditional approximation, the Bayesian one-shot

RISE controllers (868 words) [view diff] exact match in snippet view article find links to article

uncertainties, neural network-based implementations for enhanced nonlinear function approximation, and modifications designed to address issues such as input saturation

Stefano De Marchi (576 words) [view diff] exact match in snippet view article find links to article

Alma mater University of Padua Known for Polynomial and radial basis function approximation Awards Habilitation (2017) Scientific career Fields Numerical analysis

Lambert W function (12,644 words) [view diff] exact match in snippet view article find links to article

computation of Lambert W function by piecewise minimax rational function approximation with variable transformation". doi:10.13140/RG.2.2.30264.37128.

Log amplifier (2,429 words) [view diff] exact match in snippet view article find links to article

until the first limits. The resulting curve is a piecewise linear function approximation of the log function. If limiting amplifiers that clip "softly" are

List of numerical analysis topics (8,327 words) [view diff] exact match in snippet view article find links to article

of continuity — measures smoothness of a function Least squares (function approximation) — minimizes the error in the L2-norm Minimax approximation algorithm

Actor-critic algorithm (1,872 words) [view diff] exact match in snippet view article find links to article

{\displaystyle V^{\pi _{\theta }}(s)} , then it can be learned by any value function approximation method. Let the critic be a function approximator V ϕ ( s ) {\displaystyle

Diffusion model (14,123 words) [view diff] exact match in snippet view article find links to article

Given a density q {\displaystyle q} , we wish to learn a score function approximation f θ ≈ ∇ ln ⁡ q {\displaystyle f_{\theta }\approx \nabla \ln q}

Policy gradient method (6,297 words) [view diff] case mismatch in snippet view article find links to article

(1999). "Policy Gradient Methods for Reinforcement Learning with Function Approximation". Advances in Neural Information Processing Systems. 12. MIT Press