hujjatlarni indekslashdavektor mashinalaridanfoydalanish

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prezentatsiya powerpoint hujjatlarni indekslashda vektor mashinalaridan foydalanish. ma’ruza rejasi hujjatlarning vektor fazo modeli binar(ikkilik sinflashtirish) support vector machine (svm) algoritmi svm da yadro funksiyalari svm orqali ko‘p sinfli sinflashtirish hujjatlarning vektor fazo modeli tf (term frequency) – atama chastotasi idf (inverse document frequency)- hujjatning teskari chastotasi tf-idf (term frequency- inverse document frequency) – atamaning hujjatga tegishlilik ko’rsatkichi hujjatlarning vektor fazo modeli doc1= [tf1, tf2 ,…., tfn] doc2= [tf1, tf2 ,…., tfn] … sinf 2: doc3= [tf1, tf2 ,…., tfn] doc4= [tf1, tf2 ,…., tfn] … sinf 3: doc5= [tf1, tf2 ,…., tfn] doc6= [tf1, tf2 ,…., tfn] … … sinf 1:  sinf 1: doc1= [tf-idf1, tf-idf2 ,…., tf-idfn] doc2= [tf-idf1, tf-idf2 ,…., tf-idf n] … sinf 2: doc3= [tf-idf1, tf-idf2 ,…., tf-idf n] doc4= [tf-idf1, tf-idf2 ,…., tf-idf n] … sinf 3: doc5= [tf-idf1, tf-idf2 ,…., tf-idf n] doc6= [tf-idf1, tf-idf2 ,…., tf-idf n] … … tf orqali ifodasi …
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si yaxshi yaxshi !! lekin qaysi birini qoldirish kerak? qiymat +1 qiymat -1 f  chiziqli sinflashtirish x f(x,w,b) = sign(w. x - b) qiymat +1 qiymat -1 maksimum oraliq f x  y f(x,w,b) = sign(w. x - b) eng katta oraliq bu sinflashitishning eng maqbul chegara hisoblanadi bu oddiy chiziqli svm deb qaraladi. qiymat +1 qiymat -1 f x  y f(x,w,b) = sign(w. x - b) support vectors sinflashtirishnig chegara sohasi bo’lib, eng yaqin tanlanmalar uni xarakterlaydi maksimum oraliq eng katta oraliq bu sinflashitishning eng maqbul chegara hisoblanadi bu oddiy chiziqli svm deb qaraladi. qiymat +1 qiymat -1 chiziqli svm matematikasi chizmadan kelib chiqadiki: w . x+ + b = +1 w . x- + b = -1 w . (x+-x-) = 2 x- x+   m  (x  x )  w  2 w w m=oraliq kengligi maqsad: 1) training data dagi barcha …
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-class sinflashtirish: sinf 1: sinf 2: sinf 3: multi-class sinflashtirish 26 image10.png image11.png image12.png image13.png image14.png image15.png image16.png image17.png image18.png image19.png image2.png image20.png image21.png image22.png image23.png image24.png image25.png image26.png image27.png image28.png image29.png image3.png image30.png image31.png image32.png image33.png image34.png image4.png image5.png image6.png image7.png image8.png image9.png image1.png image35.png image36.png image37.png image38.png image39.jpg image40.jpg image49.png image50.png image51.png image52.png image53.png image54.png image55.png image56.png image41.png image42.png image43.png image44.png image45.png image46.png image47.png image48.png image60.png image61.png image62.png image63.png image64.png image65.png image57.png image58.png image59.png image66.jpg image67.jpg image68.jpg image69.png image70.png image71.png image72.png image73.png image74.png image75.png image84.png image85.png image86.png image87.png image88.png image89.png image90.png image91.png image92.png image93.png image76.png image94.png image77.png image78.png image79.png image80.png image81.png image82.png image83.png image95.jpg
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prezentatsiya powerpoint hujjatlarni indekslashda vektor mashinalaridan foydalanish. ma’ruza rejasi hujjatlarning vektor fazo modeli binar(ikkilik sinflashtirish) support vector machine (svm) algoritmi svm da yadro funksiyalari svm orqali ko‘p sinfli sinflashtirish hujjatlarning vektor fazo modeli tf (term frequency) – atama chastotasi idf (inverse document frequency)- hujjatning teskari chastotasi tf-idf (term frequency- inverse document frequency) – atamaning hujjatga tegishlilik ko’rsatkichi hujjatlarning vektor fazo modeli doc1= [tf1, tf2 ,…., tfn] doc2= [tf1, tf2 ,…., tfn] … sinf 2: doc3= [tf1, tf2 ,…., tfn] doc4= [tf1, tf2 ,…., tfn] … sinf 3: doc5= [tf1, tf2 ,…., tfn] doc6= [tf1, tf2 ,…., tfn] … … sinf 1:  sinf 1: doc1= [tf-idf1, tf-idf2 ,…., tf-idfn] doc2= [tf-idf1, tf-idf2 ,…., tf...

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