current source file is compiled, in the format of "HH: mm: SS.
04) _ date __Compile the date of the current source file, in the format of "Mmm dd YYYY.
05) _ file __The name of the current source file to be compiled.
3. instance description
01) determine the current compiling environment based on the value of _ mfc_ver.# If _ msc_ver> = 1400// This is Visual C ++ 2005# Elif _ msc_ver> = 1310// This is Visual C ++. NET 2003# Elif _ msc_ver> 130
system is measured; recall is the ratio of the number of related documents retrieved and the number of related documents in the document library, which is measured by the recall of the retrieval system.
In general, precision is the number of items retrieved (such as documents, Web pages, etc.) that are accurate, and recall is how much of the exact entries have been retrieved.
The correct rate, recall rate and F value are the important evaluation indexes of the target in the mixed environ
The accuracy rate, recall rate, and F value are important evaluation indicators of the target in a mixed environment. In this paper, these three indicators are favored.
Let's take a look at the definition of these indicators first:
Accuracy Rate = Total number of correctly recognized individuals/total number of identified individuals
Recall rate = Total number of correctly recognized individuals/total number of individuals in the test set
F value = accuracy * recall rate * 2/(accuracy rate +
In the database, a null value is used to indicate that the actual value is unknown or meaningless. In a table, if a column in a row has no value, it is called NULL ). A null value can be returned for any data type column as long as the non-NULL or primary key integrity restriction is NOT used. In practical applications, ignoring the existence of null values may cause unnecessary troubles.
For example, in the following employee table (EMP), the employee name (ENAME) is KING's Row, because KING i
of precision and recall, and b>1 indicates more emphasis on p
E =1-(b^2 + 1)/(1/p + b^2/r)
=1-(b^2+1) *p*r/b^2*p +r)
Example: There are 1400 carp, 300 shrimp and 300 turtles in a pond. Now for the purpose of catching carp. Sprinkle a big net, caught 700 carp, 200 shrimp, 100 turtle. So, these indicators are as follows:
Accuracy = 700/(700 + 200 + 100) = 70%
Recall rate = 700/1400 = 50%
F value = 70% *
correct message bar/sample extracted
The value is between 0 and 1, the closer the value is to 1, the higher the precision or recall.
3. F = Correct rate * Recall rate * 2/(correct rate + recall rate) (f value is the correct rate and recall rate of the harmonic mean)
Take this example: there are 1400 carp, 300 shrimp and 300 turtles in a pond. It is now for the purpose of catching carp. 700 Carp, 200 shrimp and 100 turtles were caught in a large net.
(such as documents, Web pages, etc.) is accurate, recall is the number of all accurate entries have been retrieved.
The correct rate, recall rate and F value are the important evaluation indexes to select the target in the mixed environment. Take a look at the definition of these indicators first:
Correct rate = number of correct message strips/extracted information strips
Recall rate = Number of information in the correct Information Bar/sample extracted
The value is between 0 and 1, the close
The correct rate, recall rate and F value are the important evaluation indexes of the target in the mixed environment.Consider the definition of these indicators first:Correct rate = number of individuals correctly identified/number of individuals identifiedRecall rate = Number of individuals correctly identified/total number of individuals present in the test setF value = correct rate * Recall rate * 2/(correct rate + recall rate)Example: There are 1400
:
1. Correct rate = The correct number of messages extracted/the number of extracted information bars
2. Recall rate = The correct number of information to be extracted/the number of information bars in the sample
The two values are between 0 and 1, the closer the value is to 1, the higher the precision or recall.
3. F value = correct rate * Recall rate * 2/(correct rate + recall rate) (f value is the harmonic mean of correct rate and recall rate)
Example: There are
between 0 and 1, the closer the value is to 1, the higher the precision or recall.3. F value = correct rate * Recall rate * 2/(correct rate + recall rate) (f value is the harmonic mean of correct rate and recall rate)Example: There are 1400 carp, 300 shrimp and 300 turtles in a pond. Now for the purpose of catching carp. Sprinkle a big net, caught 700 carp, 200 shrimp, 100 turtle. So, these indicators are as follows:Correct rate = 700/(700 + 200 + 10
Dataset + Fine-tuning on low Resolution Dataset this way.
In fact, this is quite reasonable, compared to learning from Scratch random initialization weights, pre-trained weights at least give a suitable weight initialization. Anyway, at the end of the Target Dataset. Note, however, that when fine-tuning, the Target dataset is up-scaling the same size as the pre-trained dataset. This should be done to ensure that the object size is consistent between pre-trained datasets and target data
Shape is the most basic object of VML, using it to draw all the graphics you want. In VML, the use of coordinates is not the document's coordinates, it has its own coordinate system, so, dynamically changing its coordinates, you can zoom in, shrink, rotate and other functions. The Coordsize property of shape is used to define coordinates, it has two parameters,
coordorig= " -1400,-1400" coordsize= "2800,28
and 1, the closer the value is to 1, the higher the precision or recall.
3. F = correct rate * Recall rate * 2/(correct rate + recall rate) (f value is the correct rate and recall rate of the harmonic mean)
Take this example: there are 1400 carp, 300 shrimp and 300 turtles in a pond. It is now for the purpose of catching carp. 700 Carp, 200 shrimp and 100 turtles were caught in a large net. Then, the indicators are as follows:
Correct rate = 700/(
) search engine optimization software tools. The keyword popularity of the Overture Keyword Advice tool is analyzed earlier to speed up the search for popular keywords. Apply to Windows 98/me/nt4.x/ xp/2003.
5.E3KWD Check 2.5b (920 KB) Small, fast search engine optimization tools. Analyze the keyword density in a text document and restore and analyze online Web documents through a fixed address bar. For Windows 95/98/2000/NT/ME/XP.
6.Get Keywords 1.
, similar to Yahoo, which we are now familiar.
With the rapid development of the Internet, it becomes more and more difficult to search all new web pages, some programmers have improved the working principle of the traditional "Spider" program. The idea is that since all webpages may have links to other websites, it is possible to retrieve the entire Internet from tracking the links of a website. By the end of 1993, some search engines based on this principle began to emerge, with jumpstation
global television network in history.Overture.com-the world's largest commercial search engine. It currently has 0.1 million stable advertisers and provides the popular "Pay-For-Performance" website logon service. More than 80% of U.S. users use the overture search engine.Infospace.com-InfoSpace is a famous meta search engine. When receiving a user's query request, the meta-search engine searches on multiple other engines and return
Serial number
Qu name (download)
Serial number
Qu name (download)
Serial number
Qu name (download)
1
1812 Overture
35
Fantasy Jixing Qu (Xiaobang)
69
Kunarn
2
E. Prelude (BAHA)
36
Humorous Qu (dwaxak)
70
Green Sleeves
3
F-tuned melody (rubinstan)
37
Lucky moon
71
Beautiful Sunday
4
G String Song (BAHA)
38
Playing
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