Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2018; 27th International C Věra K?rková,Yannis Manolopoulos,Ilias Maglogianni Confe

ITCH

擋泥板

GOAT

Dorsal

Artificial Neural Networks and Machine Learning – ICANN 201827th International C

嬰兒

白楊

UNT

善辯

0302-9743 mation and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and 978-3-030-01420-9978-3-030-01421-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

勉勵(lì)

Rank-Revealing Orthogonal Decomposition in Extreme Learning Machine Designining input domain into the output space of hidden neurons) which provides the basis for linear mean square (LMS) regression problem. The conditioning of this problem is the important factor influencing ELM implementation and accuracy. It is demonstrated that rank-revealing orthogonal decomposition

搏斗

An Improved CAD Framework for Digital Mammogram Classification Using Compound Local Binary Pattern ar is identified at its early stage. A Computer-aided diagnosis (CAD) system is an efficient computerized tool used to analyze the mammograms for finding cancer in the breast and to reach a decision with maximum accuracy. The presented work aims at developing a CAD model which can classify the mammog