代码搜索:Problem

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www.eeworm.com/read/174717/9575176

css normal.css

/*===== CSS theme file for CalendarXP 9.0 (Totally configurable) =====*/ /* NOTE: Better use numbered color values instead of literal ones, because opera has problem with the latter in certain cases.
www.eeworm.com/read/365346/9867441

m invprob.m

echo on %-------------------------------------------------- % InvProb % Example inverse geodetic problem. Computes % azimuth, vertical angle and distance from 1st % to 2nd point. % 7 Jul 96 % %
www.eeworm.com/read/361001/10069745

m writesdpa.m

% This function takes a problem in SeDuMi MATLAB format and writes it out % in SDPA sparse format. % % Usage: % % ret=writesdpa(fname,A,b,c,K,pars) % % fname Name of SDPpack file
www.eeworm.com/read/360995/10069862

m dd_ex1.m

% DD_EX1 % % Example of the creation of a One-Class problem, and the solutions % obtained by the Nearest Neighbor Data Description and the Support % Vector Data Description. Furthermore, the ROC curve
www.eeworm.com/read/359613/10134025

css normal.css

/*===== CSS theme file for CalendarXP 9.0 (Totally configurable) =====*/ /* NOTE: Better use numbered color values instead of literal ones, because opera has problem with the latter in certain cases.
www.eeworm.com/read/163079/10176281

c panic.c

/* * linux/kernel/panic.c * * Copyright (C) 1991, 1992 Linus Torvalds */ /* * This function is used through-out the kernel (includeinh mm and fs) * to indicate a major problem. */
www.eeworm.com/read/358861/10177732

m clsq.m

function [c, n] = clsq (A, dim); %CLSQ Special constrained least squares % % [c, n] = clsq (A, dim) solves the constrained % least squares Problem % A (c n)' == 0 subject t
www.eeworm.com/read/356682/10222972

m invprob.m

echo on %-------------------------------------------------- % InvProb % Example inverse geodetic problem. Computes % azimuth, vertical angle and distance from 1st % to 2nd point. % 7 Jul 96 % %
www.eeworm.com/read/425546/10348960

m demev1.m

%DEMEV1 Demonstrate Bayesian regression for the MLP. % % Description % The problem consists an input variable X which sampled from a % Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/425546/10349009

m demev3.m

%DEMEV3 Demonstrate Bayesian regression for the RBF. % % Description % The problem consists an input variable X which sampled from a % Gaussian distribution, and a target variable T generated by c