Feature Selection ToolboxFST3 Library / Documentation

search_branch_and_bound_partial_prediction.hpp File Reference

Implements Branch and Bound with Partial Prediction (BBPP) method, i.e., with predicted node ordering. More...

#include <boost/smart_ptr.hpp>
#include <iostream>
#include <ctime>
#include <cstdlib>
#include "branch_and_bound_predictor.hpp"
#include "search_branch_and_bound.hpp"
#include "error.hpp"
#include "global.hpp"
#include "result_tracker.hpp"
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Classes

class  FST::Search_Branch_And_Bound_Partial_Prediction< RETURNTYPE, DIMTYPE, SUBSET, CRITERION, PREDICTOR >
 Implements Branch and Bound with Partial Prediction (BBPP) method, i.e., with predicted node ordering. More...

Detailed Description

Implements Branch and Bound with Partial Prediction (BBPP) method, i.e., with predicted node ordering.

====================================================================== Feature Selection Toolbox 3 source code ---------------------------------------

Author:
Petr Somol (somol@utia.cas.cz) with collaborators, see Contacts at http://fst.utia.cz
Date:
March 2011
Version:
3.1.0.beta
Note:
FST3 was developed using gcc 4.3 and requires
Note that LibSVM is required for SVM related tools only, as demonstrated in demo12t.cpp, demo23.cpp, demo25t.cpp, demo32t.cpp, etc.

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