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consider molecules. There are two items of molecules. We use the hidden Markov model to estimate them. 2. Hidden Markov Model As mentioned above, Markov hypothesis refers to the probability distribution of each State St in the random process is only related to its previous state St-1. For example, four circles indicate four States, each change indicates a possible state transition, and the weight on the edge indicates the transfer probability. For example, the possibility of M2 To M3 is 0.6, a

First, the HTMLThe HTML needs to give Div an IDbody>div id="head">div>body>Second, CSSStyle> #head2 {Background-color:#989898;Width: 100%; height: 100px; margin-top: 100px;} #head2 [data-fixed= "fixed"]{ position:fixed; top:0; Left : 0; margin: 0;}style> Third, JS1, process-orientedscript> var obj = document.getElementById("wrap"); var ot = obj.offsetTop; document.onscroll = function () { var st = document.body.scrollTop || document.

steps in front of it (explained later). The classic Rnns is shown below: Recursive neural network and its forward calculation diagram (Source: Nature) in time step The above diagram expands the Rnns into a full network. By unfolding, we get a full sequence of networks. For example, if we study a sentence sequence of 5 words, the network will be expanded into a 5-layer neural network, each layer corresponding to a word. The formula in the Rnns calculation diagram is as follows: The XT is entered

' p file name, simply list the rows not deleted in the screen, in fact the original file is not deleted.[[email protected] sed] #sed-n ' 5 ' p 0.txt[[email protected] sed] #sed-n ' 1,5 ' p 0.txt[[email protected] sed] #sed-n ' 1,$ ' P 0.txt[[email protected] sed] #sed-n '/root/' P 0.txt[[email protected] sed] #sed-n '/^1/' P 0.txt[[email protected] sed] #sed-n '/in$/' P 0.txt[[email protected] sed] #sed-n '/R. o/' P 0.txt[[email protected] sed] #sed-n '/oo*/' P 0.txtReplace: s denotes substitut

test.txt root:x:0:0:root:/root:/bin/bash dbus:x:81:81:system Message Bus:/:/sbin/nologin [[emailprotected] sed]# sed-e ' 1 ' p-e '/bus/' p-e '/lp/' p-n test.txt root:x:0:0:root:/r Oot:/bin/bash lp:x:4:7:lp:/var/spool/lpd:/sbin/nologin Dbus:x:81:81:system Message Bus:/:/sbin/nologin 9.5 sed (bottom) -N Use Quiet (silent) mode. In the usage of general sed, all data from STDIN is generally listed on the screen. However, if you add the-n parameter, only the line (or action) that is specially proce

{Bytearrayinputstream in = new bytearrayinputstream (bytes );Objectinputstream OI = new objectinputstream (in );Object o = Oi. readobject ();Oi. Close ();Return O;} /***//*** Convert a serializable object to a byte array* @ Param s* @ Return* @ Throws ioexception*/Public static final byte [] objecttobytes (serializable s) throws ioexception {Bytearrayoutputstream out = new bytearrayoutputstream ();Objectoutputstream ot = new objectoutputstream (out )

Label: style Io color ar Div on cti ef Function drag (OBJ ){ OBJ. onmousedown = function (EV ){VaR EV = EV | event;// The distance from the mouse position to the image's sidesVaR OL = eV. clientx-This. offsetleft;VaR ot = eV. clienty-This. offsettop; // Use global capture to occupy the next event in non-standard IE, which is equivalent to blocking the default browser behaviorIf (obj. setcapture ){OBJ. setcapture ();} Document. onmousemove = fu

parameters, but it also contains the this and that pointers (that points to the Copied object ). if you choose to clone yourself, you must be careful to copy any information contained in your object, from that to this. if you use _ clone to copy. PHP will not perform any implicit replication, The following shows an example of automatic objects using sequence numbers: Copy codeThe Code is as follows: Class ObjectTracker // object Tracker { Private static $ nextSerial = 0; Private $ id; Private $

yourself, you must be careful to copy any information contained in your object, from that to this. if you use _ clone to copy. PHP will not perform any implicit replication, The following shows an example of automatic objects using sequence numbers:Green c hinaip ower. com7AT0x Class ObjectTracker // object tracker{Private static $ nextSerial = 0;Private $ id;Private $ name; Function _ construct ($ name) // Constructor{$ This-> name = $ name;$ This-> id = + self: $ nextSerial;} Function _ clo

cloning, overwrite (attribute or method) in _ clone ). the clone method can have no parameters, but it also contains the this and that pointers (that points to the copied object ). if you choose to clone yourself, you must be careful to copy any information contained in your object, from that to this. if you use _ clone to copy. PHP does not execute any implicit replication. the following shows an example of how to automate objects using sequence numbers: Name = $ name; $ this-> id = + self:

in your object, from that to this. if you use _ clone to copy. PHP will not perform any implicit replication,The following shows an example of automatic objects using sequence numbers: Class ObjectTracker file: // object tracker{Private static $ nextSerial = 0;Private $ id;Private $ name;Function _ construct ($ name) file: // Constructor{$ This-> name = $ name;$ This-> id = + self: $ nextSerial;}Function _ clone () file: // clone{$ This-> name = "Clone of $ that-> name ";$ This-> id = + se

replication, The following shows an example of automatic objects using sequence numbers: Class ObjectTracker file: // object tracker { Private static $ nextSerial = 0; Private $ id; Private $ name; Function _ construct ($ name) file: // Constructor { $ This-> name = $ name; $ This-> id = + self: $ nextSerial; } Function _ clone () file: // clone { $ This-> name = "Clone of $ that-> name "; $ This-> id = + self: $ nextSerial; } Function getId () file: // Get the id attribute value { Return (

four states, each edge represents a possible state transition, and the weight on the edge is the transfer probability. The implied Markov chain is an extension of the above Markov chain: The State St of T is not visible at any moment. So the observer cannot predict the transfer probability by observing a state sequence S1,S2,S3,..., St. But the implied Markov model outputs a symbol OT at each moment, and the OT