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  • Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant

    Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735.

    標簽: Description Randomness Attribute Filtered

    上傳時間: 2015-04-10

    上傳用戶:ynzfm

  • Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.

    Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.

    標簽: Description supervised algorithm S-ISOMAP

    上傳時間: 2015-04-10

    上傳用戶:wfeel

  • CGAL is a collaborative effort of several sites in Europe and Israel. The goal is to make the most i

    CGAL is a collaborative effort of several sites in Europe and Israel. The goal is to make the most important of the solutions and methods developed in computational geometry available to users in industry and academia in a C++ library.

    標簽: collaborative several Europe Israel

    上傳時間: 2015-04-10

    上傳用戶:hopy

  • mp3設計程序資料

    mp3設計程序資料,采用c語言編寫。 README file for yampp-3 source code 2001-05-27 This is the current state of the yampp-3 source code, 2001-05-27. This code is intended to run on Rev. B of the yampp-3 PCB, but can ofcourse be used on compatible systems as well. It still uses the "old" song selection system as the yampp-2. However, the disk handling routines has improved a lot and the obviosly, the new VS1001 handling has been put in. The codesize is almost at it s maximum at 1F40 bytes. A .ROM file is included if you don t have the compiler set up. For now, the documentation is in the code

    標簽: mp3 設計程序

    上傳時間: 2015-04-13

    上傳用戶:小碼農(nóng)lz

  • prolog 找路例子程序: === === === === === === Part 1-Adding connections Part 2-Simple Path example

    prolog 找路例子程序: === === === === === === Part 1-Adding connections Part 2-Simple Path example | ?- path1(a,b,P,T). will produce the response: T = 15 P = [a,b] ? Part 3 - Non-repeating path As an example, the query: ?- path2(a,h,P,T). will succeed and may produce the bindings: P = [a,depot,b,d,e,f,h] T = 155 Part 4 - Generating a path below a cost threshold As an example, the query: ?- path_below_cost(a,[a,b,c,d,e,f,g,h],RS,300). returns: RS = [a,b,depot,c,d,e,g,f,h] ? RS = [a,c,depot,b,d,e,g,f,h] ? no ==================================

    標簽: Part connections example prolog

    上傳時間: 2015-04-24

    上傳用戶:ljt101007

  • Rotating shafts experience a an elliptical motion called whirl. It is important to decompose this mo

    Rotating shafts experience a an elliptical motion called whirl. It is important to decompose this motion into a forward and backward whil orbits. The current function makes use of two sensors to generate a bi-directional spectrogram. The method can be extended to any time-frequency distribution % % compute the forward/backward Campbell/specgtrogram % % INPUT: % y (n x 2) each column is measured from a different sensor % /////// % __ % |s1| y(:,1) % |__| % __ % / \ ________|/ % | | | s2 |/ y(:,2) % \____/ --------|/ % % Fs Sampling frequnecy % % OUTPUT: % B spectrogram/Campbel diagram % x x-axis coordinate vector (time or Speed) % y y-axis coordinate vector (frequency [Hz])

    標簽: experience elliptical decompose important

    上傳時間: 2015-06-23

    上傳用戶:372825274

  • 加密算法 Test Driver for Crypto++, a C++ Class Library of Cryptographic Primitives: - To generate an

    加密算法 Test Driver for Crypto++, a C++ Class Library of Cryptographic Primitives: - To generate an RSA key cryptest g - To encrypt and decrypt a string using RSA cryptest r - To calculate MD5, SHS, and RIPEMD-160 message digests: cryptest m file - To encrypt and decrypt a string using DES-EDE in CBC mode: cryptest t - To encrypt or decrypt a file cryptest e|d input output - To share a file into shadows: cryptest s <pieces> <pieces-needed> file (make sure file has no extension, if you re running this under DOS) - To reconstruct a file from shadows: cryptest j output file1 file2 [....] - To gzip a file: cryptest z <compression-level> input output - To gunzip a file: cryptest u input output - To run validation tests: cryptest v - To run benchmarks: cryptest b [time for each benchmark in seconds]

    標簽: Cryptographic Primitives generate Library

    上傳時間: 2015-07-16

    上傳用戶:wqxstar

  • This set of simulation files performs a computational complexity performance comparison of the two m

    This set of simulation files performs a computational complexity performance comparison of the two methods mentioned in the paper. The source is ANSI-C compliant, hence any C-compiler can be used to compile the source code. It has been tested using Visual Studio.net C++ and TI code composer studio C compiler for the TMS320C6701. Note that the performance comparison may be different for different platforms.

    標簽: computational performance complexity comparison

    上傳時間: 2014-12-22

    上傳用戶:aig85

  • This section contains a brief introduction to the C language. It is intended as a tutorial on the la

    This section contains a brief introduction to the C language. It is intended as a tutorial on the language, and aims at getting a reader new to C started as quickly as possible. It is certainly not intended as a substitute for any of the numerous textbooks on C. 2. write a recursive function FIB (n) to find out the nth element in theFibanocci sequence number which is 1,1,2,3,5,8,13,21,34,55,…3. write the prefix and postfix form of the following infix expressiona + b – c / d + e * f – g * h / i ^ j4. write a function to count the number of nodes in a binary tr

    標簽: introduction the contains intended

    上傳時間: 2013-12-23

    上傳用戶:liansi

  • ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian infer

    ReBEL is a Matlabtoolkit of functions and scripts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman filtering by Rudolph van der Merwe and Eric A. Wan. The code is developed and maintained by Rudolph van der Merwe at the OGI School of Science & Engineering at OHSU (Oregon Health & Science University).

    標簽: Matlabtoolkit facilitate sequential functions

    上傳時間: 2015-08-31

    上傳用戶:皇族傳媒

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