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FVJFIFE|  楼主 | 2012-2-23 17:30 | 只看该作者 回帖奖励 |倒序浏览 |阅读模式
TI, pd, IO, se, AC
[01] A GA based feature selection and parameters optimization for support vector machines - 2006.pdf
http://ishare.iask.sina.com.cn/f/13399507.html

[02] A practical method for calculating largest Lyapunov exponents from small data sets.pdf
http://ishare.iask.sina.com.cn/f/13399508.html

[03] An improved training algorithm for support vector machines.pdf
http://ishare.iask.sina.com.cn/f/13399509.html

[04] Analysis of CFAR processors in nonhomogeneous background.pdf
http://ishare.iask.sina.com.cn/f/13399510.html

[05] Comparing different approaches to model error modeling in robust identification.pdf
http://ishare.iask.sina.com.cn/f/13399506.html

[06] Computing the Lyapunov Spectrum of a Dynamical System from Observed Time Series - 1991.pdf
http://ishare.iask.sina.com.cn/f/13399324.html

[07] Detection of signals in chaos.pdf
http://ishare.iask.sina.com.cn/f/13399325.html

[08] Determing Lyapunov exponents form a time series - wolf.pdf
http://ishare.iask.sina.com.cn/f/13399326.html

[09] Determining embedding dimension for phase-space reconstruction using a geometrical construction.pdf
http://ishare.iask.sina.com.cn/f/13399327.html

[10] Estimation of Dimension of a Noisy Attractor - 1994.pdf
http://ishare.iask.sina.com.cn/f/13399328.html

[11] Face detection using one-class SVM in color images.pdf
http://ishare.iask.sina.com.cn/f/13399295.html

[12] Fast SVM training algorithm with decomposition on very large data sets.pdf
http://ishare.iask.sina.com.cn/f/13399296.html

[13] Fast Training of Support Vector Machines using Sequential Minimal Optimization.pdf
http://ishare.iask.sina.com.cn/f/13399297.html

[14] Financial Forecasting Through Unsupervised Clustering and Evolutionary Trained Neural Networks.pdf
http://ishare.iask.sina.com.cn/f/13399298.html

[15] Framewise phone classification using support vector machines.pdf
http://ishare.iask.sina.com.cn/f/13399299.html

[16] Generalized phase space projection for nonlinear noise reduction.pdf
http://ishare.iask.sina.com.cn/f/13399340.html

[17] Imrovements to Platts SMO Algorithm for SVM.pdf
http://ishare.iask.sina.com.cn/f/13399338.html

[18] Introductory LS-SVMlab paper and presentation.pdf
http://ishare.iask.sina.com.cn/f/13399339.html

[19] Lagrangian Support Vector Machines.pdf
http://ishare.iask.sina.com.cn/f/13399336.html

[20] Least Squares Support Vector Machine Classifiers.pdf
http://ishare.iask.sina.com.cn/f/13399337.html

[21] LIBSVM a Library for Support Vector Machines.pdf
http://ishare.iask.sina.com.cn/f/13399370.html

[22] Local averaging optimization for chaotic time series prediction.pdf
http://ishare.iask.sina.com.cn/f/13399371.html

[23] Local polynomial method for ensemble forecast of time series.pdf
http://ishare.iask.sina.com.cn/f/13399372.html

[24] LS-SVMlab Toolbox User's Guide.pdf
http://ishare.iask.sina.com.cn/f/13399373.html

[25] Making Large-Scale SVM Learning Practical.pdf
http://ishare.iask.sina.com.cn/f/13399374.html

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FVJFIFE|  楼主 | 2012-2-23 17:30 | 只看该作者
[26] Making sense of a complex world.pdf
http://ishare.iask.sina.com.cn/f/13399436.html

[27] Maximun-likelihood Estimation of the Entropy of an Attractor - 1994.pdf
http://ishare.iask.sina.com.cn/f/13399437.html

[28] Multi-class support vector machine optimization using genetic algorithm.pdf
http://ishare.iask.sina.com.cn/f/13399438.html

[29] Multi-class Support Vector Machine.pdf
http://ishare.iask.sina.com.cn/f/13399439.html

[30] Neighbourhood selection for local modelling and prediction of hydrological time series.pdf
http://ishare.iask.sina.com.cn/f/13399440.html

[31] Noise Reduction for Flows Using Nonlinear Constraint.pdf
http://ishare.iask.sina.com.cn/f/13399567.html

[32] Nonlinear deterministic forecasting of daily dollar exchange rates.pdf
http://ishare.iask.sina.com.cn/f/13399566.html

[33] Nonlinear dynamics, delay times, and embedding windows.pdf
http://ishare.iask.sina.com.cn/f/13399563.html

[34] Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD.pdf
http://ishare.iask.sina.com.cn/f/13399564.html

[35] Normalized data nonlinearities for LMS adaptation.pdf
http://ishare.iask.sina.com.cn/f/13399565.htmlties+for+LMS+adaptation.pdf

[36] Ocean clutter suppression using one-class SVM.pdf
http://ishare.iask.sina.com.cn/f/13399581.html

[37] One-class SVM for learning in image retrieval.pdf
http://ishare.iask.sina.com.cn/f/13399582.html

[38] Practical method for determining the minimum embedding dimension of a scalar time series.pdf
http://ishare.iask.sina.com.cn/f/13399580.html

[39] Predicting distribution of a new forest disease using one-class SVMs.pdf
http://ishare.iask.sina.com.cn/f/13399584.html

[40] Predicting the future with the appropriate embedding dimension and time lag.pdf
http://ishare.iask.sina.com.cn/f/13399583.html

[41] Predictive accuracy for chaotic economic models.pdf
http://ishare.iask.sina.com.cn/f/13399646.html

[42] Radar Pulse Classification using Support Vector Machines.pdf
http://ishare.iask.sina.com.cn/f/13399643.html

[43] Reconstruction expansion as a geometry-based framework for choosing proper delay times.pdf
http://ishare.iask.sina.com.cn/f/13399645.html

[44] Sequential Minimal Optimization - A Fast Algorithm for Training Support Vector Machines.pdf
http://ishare.iask.sina.com.cn/f/13399644.html

[45] Sparse Least Squares Support.pdf
http://ishare.iask.sina.com.cn/f/13399647.html

[46]State space reconstruction parameters in the analysis of chaotic time series.pdf
http://ishare.iask.sina.com.cn/f/13399739.html

[47] Support Vector Machines for Classification and Regression.pdf
http://ishare.iask.sina.com.cn/f/13399740.html

[48] The Analysis of Decomposition Methods for Support Vector Machines.pdf
http://ishare.iask.sina.com.cn/f/13399741.html

[49] Time series prediction using Lyapunov exponents in embedding phase space.pdf
http://ishare.iask.sina.com.cn/f/13399742.html

[50] Training support vector machines - an application to face detection.pdf
http://ishare.iask.sina.com.cn/f/13399743.html

[51] Using Analytic QP and Sparseness to Speed Training of Support Vector Machines.pdf
http://ishare.iask.sina.com.cn/f/13399753.html

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davines| | 2012-2-24 19:15 | 只看该作者
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