matlab數據挖掘算法。實用cart決策樹進行分類，可識別多類。DECISION tree algorithm, classification.
上傳時間： 2014-12-06
上傳用戶：xsnjzljj
The source code for this package is located in src/gov/nist/sip/proxy. The proxy is a pure JAIN-SIP application: it does not need proprietary nist-sip classes in addition of those defined in JAIN-SIP 1.1, you can substitute the NIST-SIP stack by another JAIN-SIP-1.1 compliant stack and it should interoperate. he proxy can act as presence server and be able to process NOTIFY and SUBSCRIBE requests. If this parameter is disabled, the proxy will simply forward those kind of requests following the appropriate routing DECISION.
標簽： proxy The JAIN-SIP package
上傳時間： 2015-11-30
上傳用戶：ippler8
ITU-T G.729語音壓縮算法。 description: Fixed-point description of commendation G.729 with ANNEX B Coding of Speech at 8 kbit/s using Conjugate-Structure Algebraic-Code-Excited Linear-Prediction (CS-ACELP) with Voice Activity DECISION(VAD), Discontinuous Transmission(DTX), and Comfort Noise Generation(CNG).
標簽： description commendation Fixed-point 729
上傳時間： 2014-11-23
上傳用戶：thesk123
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level DECISION trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
標簽： meta-learning classifiers combining Boosting
上傳時間： 2016-01-30
上傳用戶：songnanhua
Adaptive Filter. This script shows the BER performance of several types of equalizers in a static channel with a null in the passband. The script constructs and implements a linear equalizer object and a DECISION feedback equalizer (DFE) object. It also initializes and invokes a maximum likelihood sequence estimation (MLSE) equalizer. The MLSE equalizer is first invoked with perfect channel knowledge, then with a straightforward but imperfect channel estimation technique.
標簽： performance equalizers Adaptive several
上傳時間： 2016-02-16
上傳用戶：yan2267246
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, DECISION boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.
標簽： Rauch-Tung-Striebel algorithm smoother which
上傳時間： 2016-04-15
上傳用戶：zhenyushaw
決策樹分類，Your task for this project is to develop an system which performs a classification task with any various DECISION Tree.
上傳時間： 2016-08-01
上傳用戶：源弋弋
This a very simple baseband simulator for SC-FDMA system. This simulator is part of the upcoming book “Single Carrier FDMA: A New Air Interface for Long Term Evolution” (Wiley, Nov. 2008) which I co-authored with professor David J. Goodman at Polytechnic University. The purpose of this simulator is to give some concrete idea of how SC-FDMA system works. It does lack many realistic and sophisticated features such as channel coding, time-varying fading channel model, soft DECISION decoding, etc. Regardless, I am hoping that it will help you understand SC-FDMA which is a fairly new development in 3GPP LTE.
標簽： simulator This baseband upcoming
上傳時間： 2016-08-26
上傳用戶：小草123
This document contains official rules of the 3D soccer simulation competition at RoboCup 2006. While we will try to cover all cases, if unexpected events do occur, the rule committee will seek input from the participants and then make a DECISION. However, once the committee has made a DECISION, that DECISION is final and will not be open to further discussion
標簽： competition simulation document contains
上傳時間： 2016-11-30
上傳用戶：zhengzg
個體商品銷售管理及分析系統 —進貨處理子系統本文在分析商品進貨、營銷、存儲系統及其特點的基礎上，提出將DSS技術運用到市場營銷決策上，開發MDSS（Marketing DECISION Support System）、CRM、DSM的建議，并就MDSS的總體設計思想及研究方向作簡要介紹，以明確系統的基本組成與結構
上傳時間： 2016-12-09
上傳用戶：changeboy
