Naive Bayes

11-15-2011

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Naive Bayes

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1. The problem statement, all variables and given/known data:
I have to write a program in Unix to do the following.Given a phrase like george hates john, by using naive Bayes to be able to restore the cases in the phrase and generate George hates John.I am not very familiar with Unix and i would appreciate any help

2. Relevant commands, code, scripts, algorithms

Naive Bayes Algorithm

3. The attempts at a solution (include all code and scripts):

I don't know where to begin from.

4. Complete Name of School (University), City (State), Country, Name of Professor, and Course Number (Link to Course)
University of Patra,Patra,Greece,prof.Stavrou,no link/Course ID:Algorithm Design and Implementations
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std::hash< _Tp >(3cxx) std::hash< _Tp >(3cxx) NAME
std::hash< _Tp > - SYNOPSIS
Inherits std::__hash_base< _Result, _Arg >. Public Types typedef _Arg argument_type typedef _Result result_type Public Member Functions size_t operator() (_Tp __val) const template<> size_t operator() (bool __val) const template<> size_t operator() (char __val) const template<> size_t operator() (signed char __val) const template<> size_t operator() (unsigned char __val) const template<> size_t operator() (wchar_t __val) const template<> size_t operator() (char16_t __val) const template<> size_t operator() (char32_t __val) const template<> size_t operator() (short __val) const template<> size_t operator() (int __val) const template<> size_t operator() (long __val) const template<> size_t operator() (long long __val) const template<> size_t operator() (unsigned short __val) const template<> size_t operator() (unsigned int __val) const template<> size_t operator() (unsigned long __val) const template<> size_t operator() (unsigned long long __val) const template<> size_t operator() (float __val) const template<> size_t operator() (double __val) const template<> size_t operator() (long double __val) const Detailed Description template<typename _Tp>struct std::hash< _Tp > Primary class template hash. Definition at line 58 of file functional_hash.h. Author Generated automatically by Doxygen for libstdc++ from the source code. libstdc++ Tue Nov 27 2012 std::hash< _Tp >(3cxx)

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Naive Bayes

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