vertigo heights

Label: style HTTP Io OS ar Java SP Div In the past, I encountered two adjacent blocks with the same height, but the contents were not scheduled. I used to encapsulate these two blocks in TD to implement them, but today I saw someone using js to implement this in csdn. I tried it.Http://topic.csdn.net/u/20080617/18/cfc9201a-613f-432e-a828-3f3808b9553d.html? Seed = 553780558The following code is used for implementation. (although I personally think this code is not very practical, it is also a so

Terrainheightprocesser Terrain Height Storage toolTerrainheightdata Terrain Height DataClass TerrainheightprocesserUsing unityengine;using system.collections;using system.io;using unityeditor;using system.collections.generic;/* * Terrain Height processor */public class terrainheightprocesser:scriptablewizard{public int mapwdith;public int mapheight;[ MenuItem ("Tools/save Terrain Height File")]public static void OpenDialog () {Displaywizard　　TerrainheightdataUsing unityengine;using system.collec

completely anonymous and no organization will receive your stop loss, take profit or other sensitive information. The Fix protocol interface greatly improves the electronic and transparency of forex trading, and improves cost efficiency and timeliness. Jinfeng Global's Fix Protocol Interface service is well received in the business fair.We are heartened by the growing demand for investment from China's 2016 financial traders ' fair in Shenzhen, where they are trying to find one or more of their

For css of different browsers and js computing heights 1. input defines the height in all browsers and all versions, and then defines the padding or border value. At this time, the height is its own height in the padding value and border value. 2. In goole and ie8 or later browsers, select defines the height values including the padding value and border value. 3. select is viewed in ie8 and ie8. The select and input values do not include the paddin

Html:"Container"> "leftside"> "rightside"> 1, negative external patches and positive patches {margin-bottom:-(num) px;padding-bottom: (num) px;} Combined #container{width:500px; margin:10px auto; overflow:hidden; font-size:14px;} #leftSide, #rightSide {padding-bottom:9999px; margin-bottom:-9995px; color: #fff;} #leftSide {width:195px;float: Left; Background:blue; line-height:20px; padding-left:5px;} #rightSide {width:300px;float: Left; Background:green; line-height:20px;}2, using JavaScript scri

Basic applicationsIf you have self-satisfied cell, then what you should do is:#import "Uitableview+fdtemplatelayoutcell.h"-(CGFloat) TableView: (UITableView *) TableView Heightforrowatindexpath: (Nsindexpath *) Indexpath{return [TableView fd_heightforcellwithidentifier:@ "Reuse identifer" configuration:^ (id cell) {Configure this cell with the data, same as what do in "-tableview:cellforrowatindexpath:"Like:Cell.model = Self.datas[index.row];}];}Advanced Applications (also available under IOS7)S

The core of this section is how to relate the hoeffding inequalities to the feasibility of machine learning.This PAC is very image and accurate, describing the "current possibility is probably right", that is, a probability of the last.Hoeffding's connection to machine learning is:If the number of samples is large enough, the learning effect obtained on the training set can be translated onto the test set. In other cases,Here is only the "training set of the effect of translation to the test set

= [] forLineinchOpen"Train2.dat"). ReadLines (): Train_data.append (Line.strip ()) Test_data= [] forLineinchOpen"Test2.dat"). ReadLines (): Test_data.append (Line.strip ())#iteratively Pocket AlgorithmIterative_times = 100Total_error_times=0 R=Random () forIinchRange (0,iterative_times):#Each round initialize a random seedr.seed (i)#Conduct one round pocket algorithmW =Pocket_algorithm (Train_data, R)#accmulate Error timesError_times =Error_on_data (Test_data, W) total_error_times= Tota

classification, Y only 1 and-1, the two cases of the error curve drawn out, found in fact classification line is always in the regression line below.Therefore, the conclusion is that Linear regression can be used as a slightly looser upper bound on binary classification problems.The trade-off object here is the efficiency of the algorithm and the tightness of the error bound .Here, Lin presents a practical approach: in practice, you can even do a regression to get an initialization parameter va

;Error_positive:ein=error_positive Sign= 1Target_theta=ThetareturnEin, Target_theta, signif __name__=='__main__': x, y= Read_input_data ("Train.dat") #record optimal descision stump parametersEin =X.shape[0] Theta=0 Sign= 1Index=0#Multi decision Stump optimal process forIinchRange (0,x.shape[1]): input_x=X[:,i] Input_data=Np.transpose (Np.array ([input_x,y]) Input_data=Input_data[np.argsort (input_data[:,0]) curr_ein,curr_theta,curr_sign= Calculate_ein (input_data[:,0],input_data[:,1])

, and so is the Logreg.So this can be promoted.In fact, it can be, for L2 regularization this form of linear model is possible, as follows.The question above is: in exactly the linear model that conforms to L2, W can certainly be expressed as a linear combination of Zn.The more intuitive proof here is that the core is to split w into components parallel to the Z space and the components of the vertical and z spaces.It's easy to prove(1) The component perpendicular to the Z-space does not play a

stochastic noise, no matter how to use the 10-time polynomial to fit the 50-time polynomial can not be fitted;But this time, because 10 times the power of the polynomial is stronger, it goes back enough to try as many points, these points inevitably some is equal to noise;Conversely, if the 2-time polynomial to fit, due to its weak power, in its normal range can be less than the point, so the data points in train data stochastic noise the opportunity to greatly reduceThe resulting result is the

resultIf it is an engineering program, consider here if the error rate=0 case, do a special deal.In the end, Lin theoretically discussed the basis of AdaBoost:Why does this approach work?1) The Ein may be getting smaller with each step of the way2) enough sample size, VC bound can ensure that Ein and eout close (good generalization)Lin then introduces a classic example of a adaboost:To find a weak classifier, that is no weaker than the one-dimension stump, but it is so weak classifier, through

factorzation is a more common one is the stochastic Gradient descent method.In the optimization of the Ein, regardless of the preceding constants, consider the following equation.Because there are two variables, the gradient needs to be calculated separately. Can consult the SGD algorithm, here is the simplest derivative, no longer repeat.Here's a more: Why is the derivation of Vn only considered (RNM-WM ' vn) ² this item?Because, here the derivative has two variables, vn and WM:1) Items that d

original information (open ... Large variance ... ）2) If the original data of the various dimensions of the operation, the variance covariance, only a matrix is represented.The above-mentioned paragraph is clear, the core of PCA is: the original input data are cleverly all the dimensions of the value, the variance and covariance are put into a matrix.The goal of optimization is: The variance is large, the covariance is small, so the optimization goal is equivalent to diagonalization of the cov

Various heights are frequently encountered in the project. I will summarize them again today. 1) getboundingclientrect () This is a unique method in IE. This method obtains the position of an element on the left, top, right, and bottom of the page relative to the browser window. It returns an object, this object has a property: Top, left, right, bottom. If the scroll bar is rolled, the values of top and left may be negative, because it is relative t

at the beginning of the 21st century, before the final six-class standard came out, various wiring manufacturers rushed to launch their own six-class products based on the six-class standard draft, which was defined as MHz bandwidth, in addition, in the acceptance test, the test is also conducted according to their own standards. After the final six types of standards are determined to be MHz, many manufacturers have upgraded their products, the so-called MHz six-class system that was previousl

also the time for the popularization and application of optical fiber systems. In addition, in horizontal optical fiber cabling, the more expensive OM3 10-Gigabit optical fiber is not required, and the cheaper OM2 gigabit optical fiber can be used, because one is that our horizontal cabling distance is no more than 90 meters, and the other is the application of the new Ethernet 10-Gigabit Optical Fiber standard 10GBASE-LRM), so that our OM1 and OM2 optical fiber cables, the transmission distanc

As we all know, how to set the text vertical center, that is: set line-height and the height of the outer box is consistent;In fact, there is a place, is superfluous, that is, height, set not set are centered;So, is the height of the line high?First small question: when the DIV does not set the height of the case, open its height is the text inside it?The answer is no, you can try it when you set the line height to line-height:0; , the height of the div is still 0; it turns out that the height o

$ (document). Ready (function() {Alert (window). Height ());//browser window visibility area heightAlert (document). Height ());//Height of window document in browserAlert ($ (document.body). Height ());//browser window Document height of the bodyAlert ($ (document.body). Outerheight (true));//browser window document the total height of the body includes border padding marginAlert ($ (window). width ());//width of window viewable area in browserAlert (document). width ());//browser window docume