代码搜索：predictors
找到约 42 项符合「predictors」的源代码
代码结果 42
www.eeworm.com/read/375404/9361640
h mv_competition.h
/*!
************************************************************************
* \file mv_competition.c
*
* \brief
* competition based motion vector coding
*
* \author
* Joel Jung
www.eeworm.com/read/375075/9373466
m pbnbayespred.m
function [Fhat,varF,errF] = pbnBayesPred(v,k,F)
% [Fhat,varF,errF] = pbnBayesPred(v,k,F) - Bayes predictors for a PBN
%
% Function finds the best (Bayes) steady-state predictors for each node in
www.eeworm.com/read/375404/9361366
h mv_competition.h
/*!
************************************************************************
* \file mv_competition.h
*
* \brief
* competition based motion vector coding
*
* \author
* Joel Jung
www.eeworm.com/read/376531/9315230
rd rfimpute.rd
\name{rfImpute}
\alias{rfImpute}
\alias{rfImpute.formula}
\alias{rfImpute.default}
\title{Missing Value Imputations by randomForest}
\description{
Impute missing values in predictor data using proxi
www.eeworm.com/read/373628/9445578
rfimpute
rfImpute package:randomForest R Documentation
_M_i_s_s_i_n_g _V_a_l_u_e _I_m_p_u_t_a_t_i_o_n_s _b_y _r_a_n_d_o_m_F_o_r_e_s_t
_D_e_s_
www.eeworm.com/read/357125/10215871
java multilabelknn.java
package mulan.classifier;
import java.util.Random;
import weka.core.EuclideanDistance;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.neighboursearch.LinearNNSearch;
www.eeworm.com/read/357125/10215870
java multiknn.java
package mulan.classifier;
import weka.core.EuclideanDistance;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.Utils;
import weka.core.neighboursearch.LinearNNSearch;
www.eeworm.com/read/136818/5853431
cpp pennymatchingdlg.cpp
// PennyMatchingDlg.cpp : implementation file
//
#include "stdafx.h"
#include "PennyMatching.h"
#include "PennyMatchingDlg.h"
// include predictors
#include "RandomPredictor.h"
#include "Si
www.eeworm.com/read/103143/6221152
cpp pennymatchingdlg.cpp
// PennyMatchingDlg.cpp : implementation file
//
#include "stdafx.h"
#include "PennyMatching.h"
#include "PennyMatchingDlg.h"
// include predictors
#include "RandomPredictor.h"
#include "Si
www.eeworm.com/read/101078/6253440
cpp pennymatchingdlg.cpp
// PennyMatchingDlg.cpp : implementation file
//
#include "stdafx.h"
#include "PennyMatching.h"
#include "PennyMatchingDlg.h"
// include predictors
#include "RandomPredictor.h"
#include "Si