'Entropy based' presentation slideshows

Discretization of continuous attributes

Discretization of continuous attributes. CS583 Spring 2005 Yi Zhang Peng Fan. Round 1. Outline. Introduction Three discretization methods comparison Experimental Results Related Work Summary. Introduction. A discretization algorithm converts continuous features into discrete features.

406 views • 38 slides

387 views • 36 slides

Variance vs Entropy Base Sensitivity Indices

Variance vs Entropy Base Sensitivity Indices. Julius Harry Sumihar. Outline. Background Variance-based Sensitivity Index Entropy-based Sensitivity Index Estimates from Samples Results Conclusions. Background.

512 views • 35 slides

Data Engineering Data preprocessing and transformation

Data Engineering Data preprocessing and transformation. Just apply a learner? No!. Algorithms are biased No free lunch theorem: considering all possible data distributions, no algorithm is better than another Algorithms make assumptions about data

505 views • 34 slides

Design Metrics for Data Warehouse Evolution

Design Metrics for Data Warehouse Evolution. G. Papastefanatos 1 , P. Vassiliadis 2 , A. Simitsis 3 , Y. Vassiliou 1 (1) National Technical University of Athens, Athens, Hellas (Greece) { gpapas,yv }@ dbnet . ece . ntua . gr (2) University of Ioannina , Ioannina , Hellas (Greece)

411 views • 31 slides

CS520 Web Programming Recommendation Systems

CS520 Web Programming Recommendation Systems. Chengyu Sun California State University, Los Angeles. Recommendation Systems. Predict items a user may be interested in based on information about the user and the items An effective way to help people cope with information overload

258 views • 25 slides

The W, C, & H Methods 4 Generating Pareto Solutions

The W, C, & H Methods 4 Generating Pareto Solutions. Prepared by: MA A-Sultan March 20, 2006. Reference: Entropic Vector Optimization and Simulated Entropy: Theory & Applications; Ph.D. Thesis, Liverpool University, 1991.

418 views • 22 slides

A genetic algorithm-based method for feature subset selection

A genetic algorithm-based method for feature subset selection. Feng Tan; Xuezheng Fu; Yanqing Zang; Anu G. Bourgeois Springer Soft Comput (2008) 12:111-120 Yi-Chia Lan. Outline. Introduction Feature selection methods Entropy-based feature ranking T-statistics

322 views • 15 slides