Verhulst's Logistic Curve

Tree Induction vs. Logistic Regression: A Learning-Curve Analysis

Tree induction and logistic regression are two standard o the shelf methods for building models for classi cation We present a large scale experimental comparison of logistic regression and tree induction assessing classi cation ac curacy and the quality of rankings based on class membership probabilities We use a learning curve analysis to examine the relationship of these measures to the size...

Logistic Growth Curve-based Chinese Professional Basketball Clubs Development Research

In contemporary society, so as to enhance Chinese basketball level, reform of Chinese basketball professionalization has been constantly deepened, while basketball clubs development is the internal impetus of Chinese basketball undertakings. The paper analyses specific situation of Chinese basketball clubs, and finds that most of Chinese sports clubs are sponsored and constructed by good corpor...

Tree Induction vs. Logistic Regression: A Learning-Curve Analysis

Cohort analysis of incidence/mortality of liver cancer in Japan through logistic curve fitting.

Incidence/mortality of liver cancer follow logistic curves because there is a limit reflecting the prevalence of hepatitis virus carriers in the cohort. The author fitted logistic curves to incidence/mortality data covering the nine five-year cohorts born in 1911-1955 of both sexes. Goodness-of-fit of logistic curves was sufficiently precise to be used for future predictions. Younger cohorts bo...

Robust Watermarking Technique using 2D Logistic Map and Elliptic Curve Cryptosystem in Wavelets

Copyright protection is a vital issue in modern day’s data transmission over internet. For copyright protection, watermarking technique is extensively used. In this paper, we have proposed a robust watermarking scheme using 2D Logistic map and elliptic curve cryptosystem (ECC) in the DWT domain. The combined encryption has been taken to enhance the security of the watermark before the embedding...