본문

서브메뉴

Multi-Class SVM+MTL for the Prediction of Corporate Credit Rating with Structured Data
Multi-Class SVM+MTL for the Prediction of Corporate Credit Rating with Structured Data / G...
Multi-Class SVM+MTL for the Prediction of Corporate Credit Rating with Structured Data

Detailed Information

자료유형  
 기사
ISSN  
22885404
서명/저자  
Multi-Class SVM+MTL for the Prediction of Corporate Credit Rating with Structured Data / Gang Ren,Taeho Hong,YoungKi Park
형태사항  
pp. 579
기타저자  
Gang Ren,Taeho Hong,YoungKi Park
기본자료저록  
Asia Pacific Journal of Information Systems : 제25권 제3호 2015, 09
모체레코드  
모체정보확인
Control Number  
gtec:327164

MARC

 008170915s2015              a    a                          kor
■022    ▼a22885404
■245    ▼aMulti-Class  SVM+MTL  for  the  Prediction  of  Corporate  Credit  Rating  with  Structured  Data▼dGang  Ren,Taeho  Hong,YoungKi  Park  
■300    ▼app.  579
■7001  ▼aGang  Ren,Taeho  Hong,YoungKi  Park
■773    ▼tAsia  Pacific  Journal  of  Information  Systems▼g제25권  제3호▼d2015,  09
■SIS    ▼aKS031330▼b63248▼h3▼sG

Preview

Export

ChatGPT Discussion

AI Recommended Related Books


    New Books MORE
    Related books MORE
    Statistics for the past 3 years. Go to brief
    Recommend

    פרט מידע

    • הזמנה
    • Book Loan Request Service
    • התיקיה שלי
    גשמי
    Reg No. Call No. מיקום מצב להשאיל מידע
    AR09853 종합자료실 대출가능 대출가능
    대출신청 My Folder

    * הזמנות זמינים בספר ההשאלה. כדי להזמין, נא לחץ על כפתור ההזמנה

    Books borrowed together with this book

    Related books

    Related Popular Books

    도서위치