代码搜索：Performance

找到约 6,114 项符合「Performance」的源代码

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control qpe-performance.control

Files: bin/performance apps/Applications/performance.desktop Priority: optional Section: qpe/other Maintainer: Trolltech (www.trolltech.com) Architecture: $CPU_ARCH Arch: $DEVICE_ARCH Version: $QPE_VE
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www.eeworm.com/read/114835/6121864

java performance2.java

/* ====================================== * JFreeChart : a free Java chart library * ====================================== * * Project Info: http://www.jfree.org/jfreechart/index.html * Pr
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www.eeworm.com/read/112739/6144188

java performance2.java

/* ====================================== * JFreeChart : a free Java chart library * ====================================== * * Project Info: http://www.jfree.org/jfreechart/index.html * Pr
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www.eeworm.com/read/111695/6153135

java performance2.java

/* ====================================== * JFreeChart : a free Java chart library * ====================================== * * Project Info: http://www.jfree.org/jfreechart/index.html * Pr
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www.eeworm.com/read/100926/6264234

cpp performance_test.cpp

// Performance_Test.cpp,v 1.5 1999/01/19 23:36:28 nanbor Exp #define ACE_BUILD_SVC_DLL #include "ace/Service_Repository.h" #include "ace/Synch.h" #include "Performance_Test_Options.h" #inclu
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h performance_test.h

// -*- C++ -*- // Performance_Test.h,v 1.4 1999/01/19 23:36:28 nanbor Exp #ifndef ACE_PERFORMANCE_TEST_H #define ACE_PERFORMANCE_TEST_H #include "Synch_Lib/Benchmark_Base.h" class ACE_Svc_E
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h benchmark_performance.h

/* -*- C++ -*- */ // Benchmark_Performance.h,v 1.6 2002/04/18 05:38:21 jwillemsen Exp /* Defines the class used to dynamically link in the benchmark tests */ #ifndef ACE_BENCHMARK_PERFORMANCE_H
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cpp benchmark_performance.cpp

// Benchmark_Performance.cpp,v 1.2 1999/01/03 22:15:20 nanbor Exp #define ACE_BUILD_SVC_DLL #include "Benchmark_Performance.h" ACE_RCSID(Synch_Benchmarks, Benchmark_Performance, "Benchmark_Per
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m performance_eval.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %性能评估 save saved_data.mat; % 保存数据 snr = [Eb_NoStart:Eb_NoInterval:Eb_NoEnd]; % 以下均考虑第u个用户的误比特率性能 u = 1; % 误比特率,误符号率性能
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www.eeworm.com/read/359185/6352474

m predict_performance.m

function a = predict_performance(algorithm, algorithm_params, features, targets, region) % Predict the final performance of an algorithm from the learning curves % Inputs: % algorithm
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