Computational Intelligence for Data Mining Włodzisław Duch Department of Informatics Nicholas Copernicus University Torun, Poland With help from R. Adamczak,
Prediction Basic concepts. Scope Prediction of: Resources Calendar time Quality (or lack of quality) Change impact Process performance Often.
Computational intelligence methods for information understanding and information management Włodzisław Duch Department of Informatics Nicolaus Copernicus.
Computational intelligence tools for data understanding Włodzisław Duch Department of Informatics Nicholas Copernicus University Torun, Poland & School.
COE 561 Digital System Design & Synthesis Multiple-Level Logic Synthesis Dr. Aiman H. El-Maleh Computer Engineering Department King Fahd University of.
1 Who Stole the Painting? In-class Resolution Refutation Problem N(x) – “x is a knight” K(x) – “x is a knave” R(x) – “x is a regular” N(A) -> ~N(A) = ~N(A)
1 Face Detection - Advanced Topics in Information Processing Junhong Liu Agenda Introduction of Face Detection Detecting Faces in A Single Image Face Image.
1 CMSC 671 Fall 2003 Class #16 – Wednesday, October 22.
Computational intelligence for data understanding Włodzisław Duch Department of Informatics, Nicolaus Copernicus University, Toruń, Poland Google: W. Duch.
1 Semantic Web Semantic Web DL Relationships with other Formalisms Habib Rostami.
1 Knowledge Representation and Reasoning Focus on Sections 10.1-10.3, 10.6 Guest Lecturer: Eric Eaton University of Maryland Baltimore County Lockheed.
Nature Reviews Drug Discovery 12(12),948–962 (2013)