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
标签： Object-oriented Deterministic Complete notation
上传时间： 2014-11-29
上传用户：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.
标签： compiler Grammatica generator improves
上传时间： 2015-01-11
上传用户：stella2015
/* RSA Demo 1.0 版 * 版权所有 (C) 2004 赵春生 * 2004.04.25 * http://timw.yeah.net * http://timw.126.com * 本程序调用Miracl ver 4.82大数运算库，详见其附带手册。 * P,Q,N,D,E使用RSATool2生成。 */ 编译提示： 一：将Project-Settings-Settings For(All Configuration)-C/C++中Category项的 Precompiled Headers设置成：Automatic use of precompiled headers（图1）。 二：将ms32.lib添加到工程中（图2）。 三：MIRACL是C库。 extern "C" { #include "miracl.h" #include "mirdef.h" } #pragma comment( lib, "ms32.lib" )
上传时间： 2015-03-23
上传用户：leehom61
/* RSA Demo 1.0 版 * 版权所有 (C) 2004 赵春生 * 2004.04.25 * http://timw.yeah.net * http://timw.126.com * 本程序调用Miracl ver 4.82大数运算库，详见其附带手册。 * P,Q,N,D,E使用RSATool2生成。 */ 编译提示： 一：将Project-Settings-Settings For(All Configuration)-C/C++中Category项的 Precompiled Headers设置成：Automatic use of precompiled headers（图1）。 二：将ms32.lib添加到工程中（图2）。 三：MIRACL是C库。 extern "C" { #include "miracl.h" #include "mirdef.h" } #pragma comment( lib, "ms32.lib" )
上传时间： 2013-12-17
上传用户：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.
标签： classification easy-to-use regression and
上传时间： 2013-12-22
上传用户：二驱蚊器
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是一个针对IEEE802.11b无线局域网的嗅探和包分析器，支持大多数无线网卡，支持自动检测UDP、ARP和DHCP的数据包，支持通过CDP协议检测思科网络设备，支持加密数据包记录，采用与Ethereal和Tcpdump兼容的的数据包记录文件，支持通过用户提供地图来检测和评估无线网络范围。
标签： network dissector sniffing capable
上传时间： 2014-11-26
上传用户：wweqas
一个非常好的时间序列工具箱，详细使用说明见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.
上传时间： 2014-01-14
上传用户：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.
标签： applications light-weight programming extending
上传时间： 2016-01-13
上传用户：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).来源。
标签： web automated crawler program
上传时间： 2016-02-01
上传用户：钓鳌牧马
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.
标签： information extraction predictive databases
上传时间： 2016-03-19
上传用户：啊飒飒大师的
