代码搜索:Models

找到约 5,847 项符合「Models」的源代码

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www.eeworm.com/read/388353/2551236

php model.php

www.eeworm.com/read/386121/2573072

properties securitymodels.properties

# # SNMP4J Security Models registration file # # Each row may contain the full class name (incl. package) of a subclass # of org.snmp4j.security.SecurityModel # # @author Frank Fock # org.snmp
www.eeworm.com/read/374210/2755209

java dbscan.java

package xmu.hll.Models.Clustering.CDBased.Algorithms.DBSCAN; import java.util.ArrayList; import java.util.Collections; import java.util.Vector; import com.prudsys.pdm.Core.MiningException; im
www.eeworm.com/read/372601/2771602

h basetsd.h

/* * Compilers that uses ILP32, LP64 or P64 type models * for both Win32 and Win64 are supported by this file. */ /* * Modified for use with MPlayer, detailed changelog at * http://svn.mplayerhq
www.eeworm.com/read/357991/3008278

java wkmeans.java

package com.prudsys.pdm.Models.Clustering.CDBased.Algorithms.WKMeans; import java.util.ArrayList; import java.util.Random; import java.util.Vector; import com.prudsys.pdm.Core.AttributeType;
www.eeworm.com/read/160391/5571622

m kalman_inf_engine.m

function engine = kalman_inf_engine(bnet) % KALMAN_INF_ENGINE Inference engine for Linear-Gaussian state-space models. % engine = kalman_inf_engine(bnet) % % 'onodes' specifies which nodes are obs
www.eeworm.com/read/475790/6778488

h pid_sf.h

/* * Real-Time Workshop S-function Target for model PID. * This file provides access to the generated S-function target * export file for other models. * * Created: Mon May 04 22:18:16 2009 *
www.eeworm.com/read/194767/8186677

m clarkwest.m

function [WESTSTAT, WESTPVALUE] = clarkwest(error1, error2, yhat2, tau); % Clark and West Test for Predictive Accuracy with Nested Models % Inputs, error1, error2: out of sample errors for smalle
www.eeworm.com/read/173932/9629709

m fluct_loss.m

function [Lf,Pd_Sw5] = fluct_loss(pd, pfa, np, sw_case) % This fucntion calculates the SNR fluctiation loss for Swerling models % A negative Lf value indicates SNR gain instead of loss format long