Complete support for EBNF notation; Object-oriented parser design; C++ output; Deterministic bottom-up "shift-reduce" parsing; SLR(1), LALR(1) and LR(1) table construction methods; automatic parse tree creation; Possibility to output parse tree in XML format; Verbose conflict diagnostics; Generation of tree traverse procedures
標簽： Object-oriented Deterministic Complete notation
上傳時間： 2014-11-29
上傳用戶：kr770906
Grammatica is a C# and Java parser generator (compiler compiler). It improves upon simlar tools (like yacc and ANTLR) by creating well-commented and readable source code, by having automatic error recovery and detailed error messages, and by support for testing and debugging grammars without generating source code. It supports LL(k) grammars with an unlimited number of look-ahead tokens.
標簽： compiler Grammatica generator improves
上傳時間： 2015-01-11
上傳用戶：stella2015
/* RSA Demo 1.0 版 * 版權所有 (C) 2004 趙春生 * 2004.04.25 * http://timw.yeah.net * http://timw.126.com * 本程序調用Miracl ver 4.82大數運算庫，詳見其附帶手冊。 * P,Q,N,D,E使用RSATool2生成。 */ 編譯提示： 一：將Project-Settings-Settings For(All Configuration)-C/C++中Category項的 Precompiled Headers設置成：automatic use of precompiled headers（圖1）。 二：將ms32.lib添加到工程中（圖2）。 三：MIRACL是C庫。 extern "C" { #include "miracl.h" #include "mirdef.h" } #pragma comment( lib, "ms32.lib" )
上傳時間： 2015-03-23
上傳用戶：leehom61
/* RSA Demo 1.0 版 * 版權所有 (C) 2004 趙春生 * 2004.04.25 * http://timw.yeah.net * http://timw.126.com * 本程序調用Miracl ver 4.82大數運算庫，詳見其附帶手冊。 * P,Q,N,D,E使用RSATool2生成。 */ 編譯提示： 一：將Project-Settings-Settings For(All Configuration)-C/C++中Category項的 Precompiled Headers設置成：automatic use of precompiled headers（圖1）。 二：將ms32.lib添加到工程中（圖2）。 三：MIRACL是C庫。 extern "C" { #include "miracl.h" #include "mirdef.h" } #pragma comment( lib, "ms32.lib" )
上傳時間： 2013-12-17
上傳用戶：liansi
Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It can solve C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification. This document explains the use of libsvm.
標簽： classification easy-to-use regression and
上傳時間： 2013-12-22
上傳用戶：二驅蚊器
Kismet is an 802.11b network sniffer and network dissector. It is capable of sniffing using most wireless cards, automatic network IP block detection via UDP, ARP, and DHCP packets, Cisco equipment lists via Cisco Discovery Protocol, weak cryptographic packet logging, and Ethereal and tcpdump compatible packet dump files. It also includes the ability to plot detected networks and estimated network ranges on downloaded maps or user supplied image files. Kismet是一個針對IEEE802.11b無線局域網的嗅探和包分析器，支持大多數無線網卡，支持自動檢測UDP、ARP和DHCP的數據包，支持通過CDP協議檢測思科網絡設備，支持加密數據包記錄，采用與Ethereal和Tcpdump兼容的的數據包記錄文件，支持通過用戶提供地圖來檢測和評估無線網絡范圍。
標簽： network dissector sniffing capable
上傳時間： 2014-11-26
上傳用戶：wweqas
一個非常好的時間序列工具箱，詳細使用說明見P. M. T. Broersen, automatic Spectral Analysis with Time Series Models, IEEE Transactions on Instrumentation and Measurement, Vol. 51, No. 2, April 2002, pp. 211-216.
上傳時間： 2014-01-14
上傳用戶：古谷仁美
Lua is a powerful, light-weight programming language designed for extending applications. It is also frequently used as a general-purpose, stand-alone language. It combines simple procedural syntax (similar to Pascal) with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, interpreted from bytecodes, and has automatic memory management with garbage collection, making it ideal for configuration, scripting, and rapid prototyping.
標簽： applications light-weight programming extending
上傳時間： 2016-01-13
上傳用戶：1101055045
A web crawler (also known as a web spider or web robot) is a program or automated script which browses the in a methodical, automated manner. Other less frequently used names for web crawlers are ants, automatic indexers, bots, and worms (Kobayashi and Takeda, 2000).來源。
標簽： web automated crawler program
上傳時間： 2016-02-01
上傳用戶：釣鰲牧馬
Data mining (DM) is the extraction of hidden predictive information from large databases (DBs). With the automatic discovery of knowledge implicit within DBs, DM uses sophisticated statistical analysis and modeling techniques to uncover patterns and relationships hidden in organizational DBs. Over the last 40 years, the tools and techniques to process structured information have continued to evolve from DBs to data warehousing (DW) to DM. DW applications have become business-critical. DM can extract even more value out of these huge repositories of information.
標簽： information extraction predictive databases
上傳時間： 2016-03-19
上傳用戶：啊颯颯大師的
