最新的支持向量機工具箱，有了它會很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999.
上傳時間： 2013-12-16
上傳用戶：亞亞娟娟123
WHAT MIME64 IS: MIME64 is an encoding described in RFC1341 as MIME base64.Its purpose is to encode binary files into ASCII so that they may be passedthrough e-mail gates. In this regard, MIME64 is similar to UUENCODE.Although most binaries these days are transmitted using UUENCODE, Ihave seen a few using MIME64, and I have had requests from friends thatI decode MIME64 files that have fallen into their hands. As long assome MIME64 continues to exist, a package such as this one is usefulto have.
標簽： MIME described 64 encoding
上傳時間： 2013-12-17
上傳用戶：maizezhen
This program will ask how many numbers you want to find the average of, then it will allow you to enter your numbers(yes they can even be decimals) then it will calculate the mean, median, mode and range of what you enter.
上傳時間： 2015-03-23
上傳用戶：skhlm
802.11b物理層的simulink建模。模型支持1Mbps, 2Mbps, 5.5Mbps, and 11Mbps 的模式，模型包括幀的生成，BPSK、QPSK調制，巴克碼擴展，CCK以及信道頻移量的選擇和一個AWGN信道。 使用說明：先將壓縮包解壓縮到一個新文件夾中，改變matlab當前執行目錄，然后運行WiFi.mdl文件。 壓縮包中包括6個文件：WiFi.mdl，WiFi_lib.mdl，WiFi_init.m，cck_codes.mat，ber_test.m，test_level_1.m。 模型使用標準：IEEE Std 802.11b-1999, 來源于: http://standards.ieee.org/reading/ieee/std/lanman/
上傳時間： 2014-08-05
上傳用戶：黑漆漆
USB Manager(usbmgr) 0.4.8 Shuu Yamaguchi <shuu@wondernetworkresources.com> Special Helper: Philipp Thomas When USB devices connect to or disconnect from a USB hub, the usbmgr works as the following according to configuration. a) It loads and unloads files Linux kernel modules. b) It execute file to setup USB devices.
標簽： wondernetworkresources Yamaguchi Manager Special
上傳時間： 2014-01-27
上傳用戶：zhaiyanzhong
算法ebook(10部算法經典著作的合集) 算法ebook> 10部算法經典著作的合集 chm格式 (1)Fundamentals of Data Structures by Ellis Horowitz and Sartaj Sahni (2)Data Structures, Algorithms and Program Style Using C by James F. Korsh and Leonard J. Garrett (3)Data Structures and Algorithm Analysis in C by Mark Allen Weiss (4)Data Structures: From Arrays to Priority Queues by Wayne Amsbury (5)Information Retrieval: Data Structures & Algorithms edited by William B. Frakes and Ricardo Baeza-Yates (6)Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, and Ronald L. Rivest (7)Practical Data Structures in C++ by Bryan Flamig (8)Reliable Data Structures in C by Thomas Plum (9)Data Structures and Algorithms Alfred V. Aho, Bell Laboratories, Murray Hill, New Jersey John E. Hopcroft, Cornell University, Ithaca, New York Jeffrey D. Ullman, Stanford University, Stanford, California (10)DDJ Algorithms and Data Structures Articles
標簽： ebook Fundamentals Structures Ellis
上傳時間： 2015-04-04
上傳用戶：tfyt
This simple simulation of a pulse traveling down a parallel-plate guide makes a handy test code for initial experiments with boundary conditions. ToyFDTD3 adds some simple features to ToyFDTD1: A PMC boundary condition, a sinusoidal pulse source, and output tracking a single point in the mesh. Released 15 June 1999.
標簽： parallel-plate simulation traveling simple
上傳時間： 2015-04-06
上傳用戶：stella2015
Free C++ toolkit to facilitate Monte-Carlo simulation. This is a library covered under the LGPL. "MCS-libre" stands for "Monte Carlo Simulation - libre". Documentation and examples are provided. 這是一個免費的用于簡化Monte-Carlo模擬的C++工具包。這是一個遵守LGPL協議的庫。"MCS-libre"代表"Monte Carlo Simulation - libre"。提供了文檔和例子。
標簽： Monte-Carlo facilitate simulation toolkit
上傳時間： 2013-12-06
上傳用戶：671145514
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. 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
