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<title>RankBoost_ranking_function</title>
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<h1>RankBoost_ranking_function</h1>
<introduction>
<p>Implementation of the ranking function for the RankBoost</p>
</introduction>
<h2>Contents</h2>
<div>
<ul>
<li><a href="#1">Syntax</a></li>
<li><a href="#2">Description</a></li>
<li><a href="#3">Input</a></li>
<li><a href="#5">Ouput</a></li>
<li><a href="#7">Signature</a></li>
</ul>
</div>
<h2>Syntax<a name="1"></a></h2><pre>[o]=RankBoost_ranking_function(X,T,model)</pre><h2>Description<a name="2"></a></h2>
<h2>Input<a name="3"></a></h2>
<div>
<ul>
<li>X ... d x N matrix, each column is one input.</li>
<li>T ... number of weak learners</li>
<li>model ... structure containing all the learnt weak learners</li>
<li>model.alpha ... the weight</li>
<li>model.i... the best feature</li>
<li>model.theta ... the best threshold</li>
<li>model.qdef ... the best default score</li>
</ul>
</div>
<h2>Ouput<a name="5"></a></h2>
<div>
<ul>
<li>o ... 1 x N vector of the outputs</li>
</ul>
</div>
<h2>Signature<a name="7"></a></h2>
<div>
<ul>
<li><b>Author:</b> Vikas Chandrakant Raykar
</li>
<li><b>E-Mail:</b> <a href="mailto:vikas@cs.umd.edu">vikas@cs.umd.edu</a></li>
<li><b>Date:</b> October 07, 2006
</li>
</ul>
</div>
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Published with wg_publish; V1.0<br></p>
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<!--
##### SOURCE BEGIN #####
%% RankBoost_ranking_function
% Implementation of the ranking function for the RankBoost
%% Syntax
% [o]=RankBoost_ranking_function(X,T,model)
%% Description
%%
%% Input
%%
% * X ... d x N matrix, each column is one input.
% * T ... number of weak learners
% * model ... structure containing all the learnt weak learners
% * model.alpha ... the weight
% * model.i... the best feature
% * model.theta ... the best threshold
% * model.qdef ... the best default score
%%
%% Ouput
%%
% * o ... 1 x N vector of the outputs
%%
%% Signature
%%
% * *Author:* Vikas Chandrakant Raykar
% * *E-Mail:* vikas@cs.umd.edu
% * *Date:* October 07, 2006
%%
%%
%
##### SOURCE END #####
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