functions support vector machines and neural networks

Tài liệu Báo cáo khoa học: "Reading Level Assessment Using Support Vector Machines and Statistical Language Models" pdf

... e.g Lee and Myaeng’s (2002) genre and subject detection work and Boulis and Ostendorf’s (2005) work on feature selection for topic classiﬁcation For our LM classiﬁers, we followed Boulis and Ostendorf’s ... categorization with support vector machines: learning with many relevant features In Proc of the European Conference on Machine Learning, pages 137–142, 1998a T Joachims Making large-scale support vector ... scores are relative to the most common 100, 200 and 500 words in the lowest grade level c∈C P (c|w) log P (c|w) c∈C + P (w) ¯ 4.3 Support Vector Machines • 12 language model perplexity scores...

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Tài liệu Báo cáo khoa học: "Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data" ppt

Danh mục: Báo cáo khoa học

... III and e Marcu (2005)’s R-2 score was 0.071 [0.067–0.074] and R-SU4 was 0.126 [0.123–0.129] and it is better than the DUC-2005 Fisher and Roark supervised approach with an R-2 of 0.066 and an ... (which happens in The mean, median, standard deviation and histogram of the overlapping distribution are calculated and included as features this case), and a simple iterative procedure called ... text in the SCU label and all its contributors is stemmed and stop words are removed, obtaining a set of stem vectors for each SCU The system summary text is also stemmed and freed from stop words...

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e. osuna, r. freund, and f. girosi, training support vector machines- an application to face detection

Danh mục: Tin học

... h b ` `9' h )' R ` Ơ 6ƠHD#@#Vq kFsvHIPH&H&@3F9 pn#ƠHbq 400 500 600 700 Number of Support Vectors 800 900 1000 X 300 0.5 0 0.5 1.5 2.5 3.5 Number of Samples 4.5 x 10 41 Time (hours) ... hE F9 0 300 0.5 1.5 2.5 3.5 Number of Samples x 10 4 4.5 0.5 400 Time (hours) Number of Support Vectors 1.5 2.5 3.5 500 600 700 800 900 4.5 1000 G 9' ) & ) b X & G RrAA )1 RA y 15 A5' B...

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Kernel Methods and Support Vector Machines

Danh mục: Tổng hợp

... Introduction Linear support vector machines Nonlinear support vector machines Multiclass support vector machines Other issues Challenges for kernel methods and SVMs 10 Linear support vector machines The ... Introduction Linear support vector machines Nonlinear support vector machines Multiclass support vector machines Other issues Challenges for kernel methods and SVMs 36 Multiclass support vector machines ... optimal weight vector 18 Content Introduction Linear support vector machines Nonlinear support vector machines Multiclass support vector machines Other issues Challenges for kernel methods and SVMs...

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Kỹ thuật Support Vector Machines và ứng dụng

Danh mục: Công nghệ thông tin

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Tài liệu Kalman Filtering and Neural Networks - Chapter 1: KALMAN FILTERS doc

Danh mục: Hóa học - Dầu khí

... scalar random variables; generalization of the theory to vector random variables is a straightforward matter Suppose we are given the observable yk ¼ xk þ vk ; where xk is an unknown signal and vk ... ﬁrst-order Taylor approximation of the nonlinear functions Fðk; xk Þ and ^ ^k Hðk; xk Þ around xk and xÀ, respectively Speciﬁcally, Fðk; xk Þ and Hðk; xk Þ are approximated as follows ^ ^ Fðk; ... Wiley, 1986 [3] M.S Grewal and A.P Andrews, Kalman Filtering: Theory and Practice Englewood Cliffs, NJ: Prentice-Hall, 1993 [4] H.L Van Trees, Detection, Estimation, and Modulation Theory, Part...

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Tài liệu Kalman Filtering and Neural Networks P2 doc

Danh mục: Điện - Điện tử

... response vector yk as a nonlinear function of the input vector uk , the weight parameter vector wk , and, for recurrent networks, the recurrent node activations vk ; this equation is augmented by random ... Saad, D.V Prokhorov, and D.C Wunsch III, ‘‘Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks, ’’ IEEE Transactions on Neural Networks, 9, 1456–1470 ... (1998) [21] K.-C Jim, C.L Giles, and B.G Horne, ‘‘An analysis of noise in recurrent neural networks: convergence and generalization,’’ IEEE Transactions on Neural Networks, 7, 1424–1438 (1996) [22]...

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Tài liệu Kalman Filtering and Neural Networks P3 doc

Danh mục: Điện - Điện tử

... circle moving right and up; square moving right and down; triangle moving right and up; circle moving right and down; square moving right and up; triangle moving right and down Training was ... Cortex, 1, 1–47 (1991) [2] J.S Lund, Q Wu and J.B Levitt, ‘‘Visual cortex cell types and connections’’, in M.A Arbib, Ed., Handbook of Brain Theory and Neural Networks, Cambridge, MA: MIT Press, 1995 ... Rao and Ballard [10] have proposed an alternative neural network implementation of the EKF that employs topdown feedback between layers, and have applied their model to both static images and...

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Tài liệu Kalman Filtering and Neural Networks P4 doc

Danh mục: Điện - Điện tử

... selected similar to the noise-free case, and two distinct networks were trained using the noisy Lorenz signals with 25 dB SNR and 10 dB SNR, respectively The networks were trained with a learning ... in D.A Rand and L.S Young, Eds Dynamical Systems and Turbulence, Warwick 1980, Lecture Notes in Mathematics Vol 898 1981, p 230 Berlin: Springer-Verlag [6] A.M Fraser, ‘‘Information and entropy ... prediction, a delay vector consisting of taps spaced by 10 samples apart is constructed as dictated by the embedding parameters dE and t The RMLP is initialized with a delay vector, constructed...

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Tài liệu Kalman Filtering and Neural Networks P5 pdf

Danh mục: Điện - Điện tử

... Atlas, ‘‘Recurrent neural networks and robust time series prediction,’’ IEEE Transactions on Neural Networks, 5(2), 240–254 (1994) [15] S.C Stubberud and M Owen, ‘‘Artiﬁcial neural network feedback ... Puskorius and L.A Feldkamp, ‘ Neural control of nonlinear dynamic systems with Kalman ﬁlter trained recurrent networks, ’’ IEEE Transactions on Neural Networks, (1994) [32] E.S Plumer, ‘‘Training neural ... Recognition and Neural Networks Cambridge University Press, 1996 [39] T.M Cover and J.A Thomas, Elements of Information Theory New York: Wiley, 1991 [40] G.V Puskorius and L.A Feldkamp, ‘‘Extensions and...

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Tài liệu Kalman Filtering and Neural Networks P6 pdf

Danh mục: Điện - Điện tử

... matrices A and B multiplying inputs x and u, respectively; and an output bias vector b, and the noise covariance Q Each RBF is assumed to be a Gaussian in x space, with center ci and width given ... RBF networks with a center on each data point has been used by Tipping [50] successfully for nonlinear regression, and given the name ‘‘relevance vector machine’’ in analogy to support vector machines ... estimation for nonlinear dynamical systems and also as a basis for on-line learning algorithms for feedforward neural networks [15] and radial basis function networks [16, 17] For more details, see...

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Tài liệu Kalman Filtering and Neural Networks P7 pptx

Danh mục: Điện - Điện tử

... learning the parameters The use of the EKF for training neural networks has been developed by Singhal and Wu [8] and Puskorious and Feldkamp [9], and is covered in Chapter of this book The use of the ... estimation with neural networks Double Inverted Pendulum A double inverted pendulum (see Fig 7.4) has states corresponding to cart position and velocity, and top and _ _ _ bottom pendulum angle and angular ... autoregressive neural network with random weights driven by Gaussian process noise and also corrupted by additive white Gaussian noise (SNR % dB) A standard 6-10-1 MLP with hidden activation functions and...

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Tài liệu Kalman Filtering and Neural Networks - Chapter 4: CHAOTIC DYNAMICS pdf

Danh mục: Hóa học - Dầu khí

... selected similar to the noise-free case, and two distinct networks were trained using the noisy Lorenz signals with 25 dB SNR and 10 dB SNR, respectively The networks were trained with a learning ... in D.A Rand and L.S Young, Eds Dynamical Systems and Turbulence, Warwick 1980, Lecture Notes in Mathematics Vol 898 1981, p 230 Berlin: Springer-Verlag [6] A.M Fraser, ‘‘Information and entropy ... prediction, a delay vector consisting of taps spaced by 10 samples apart is constructed as dictated by the embedding parameters dE and t The RMLP is initialized with a delay vector, constructed...

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Tài liệu Kalman Filtering and Neural Networks - Chapter 5: DUAL EXTENDED KALMAN FILTER METHODS docx

Danh mục: Hóa học - Dầu khí

... Atlas, ‘‘Recurrent neural networks and robust time series prediction,’’ IEEE Transactions on Neural Networks, 5(2), 240–254 (1994) [15] S.C Stubberud and M Owen, ‘‘Artiﬁcial neural network feedback ... Puskorius and L.A Feldkamp, ‘ Neural control of nonlinear dynamic systems with Kalman ﬁlter trained recurrent networks, ’’ IEEE Transactions on Neural Networks, (1994) [32] E.S Plumer, ‘‘Training neural ... Recognition and Neural Networks Cambridge University Press, 1996 [39] T.M Cover and J.A Thomas, Elements of Information Theory New York: Wiley, 1991 [40] G.V Puskorius and L.A Feldkamp, ‘‘Extensions and...

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Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc

Danh mục: Hóa học - Dầu khí

... matrices A and B multiplying inputs x and u, respectively; and an output bias vector b, and the noise covariance Q Each RBF is assumed to be a Gaussian in x space, with center ci and width given ... RBF networks with a center on each data point has been used by Tipping [50] successfully for nonlinear regression, and given the name ‘‘relevance vector machine’’ in analogy to support vector machines ... estimation for nonlinear dynamical systems and also as a basis for on-line learning algorithms for feedforward neural networks [15] and radial basis function networks [16, 17] For more details, see...

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Tài liệu Kalman Filtering and Neural Networks - Chapter VII: THE UNSCENTED KALMAN FILTER pdf

Danh mục: Hóa học - Dầu khí

... learning the parameters The use of the EKF for training neural networks has been developed by Singhal and Wu [8] and Puskorious and Feldkamp [9], and is covered in Chapter of this book The use of the ... estimation with neural networks Double Inverted Pendulum A double inverted pendulum (see Fig 7.4) has states corresponding to cart position and velocity, and top and _ _ _ bottom pendulum angle and angular ... autoregressive neural network with random weights driven by Gaussian process noise and also corrupted by additive white Gaussian noise (SNR % dB) A standard 6-10-1 MLP with hidden activation functions and...

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Tài liệu Kalman Filtering and Neural Networks - Contents pptx

Danh mục: Hóa học - Dầu khí

... Cherkassky and Mulier = LEARNING FROM DATA: Concepts, Theory, and Methods Diamantaras and Kung = PRINCIPAL COMPONENT NEURAL NETWORKS: Theory and Applications Haykin = KALMAN FILTERING AND NEURAL NETWORKS ... Sanchez-Pena and Sznaler = ROBUST SYSTEMS THEORY AND ´ ˜ APPLICATIONS Sandberg, Lo, Fancourt, Principe, Katagiri, and Haykin = NONLINEAR DYNAMICAL SYSTEMS: Feedforward Neural Network Perspectives ´ Tao and ... Kristic, Kanellakopoulos, and Kokotovic = NONLINEAR AND ADAPTIVE CONTROL DESIGN Nikias and Shao = SIGNAL PROCESSING WITH ALPHA-STABLE DISTRIBUTIONS AND APPLICATIONS Passino and Burgess = STABILITY...

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