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@book{awic2003,
editor={J. M. Peña},
year={2003},
title={Advances in Web Intelligence: First International AtlanticWeb Intelligence Conference, AWIC 2003, Madrid, Spain, May 5–6, 2003....
@incollection{awic2003-FSA,
crossref={awic2003},
author={Pedro A. C. Sousa and João Paulo Pimentão and Bruno René D. Santos and Fernando Moura-Pires},
year={2003},
title={ Feature Selection...
Reference
bibTeX entry
Less is more (Liu, and Motoda)
Although this may seem a rehash of a chapter of the same title in Feature Extraction, Construction and Selection, this chapter makes a much...
Type:
Book
Title:
Computational Methods of Feature Selection
Author:
Liu, Huan and Motoda, Hiroshi
ISBN:
1584888784
Publisher:
Chapman & Hall/CRC
Year:
2008
Call #:
QA76.9.D3...
Concept inductive learning1
Learning a concept is a learning task closely related to classification.
concept
Given a universe of objects , a concept is a subset .
The target function is the...
Definitions
The following are the basic definitions that are going to be used in our analysis of classification problems.
Universe
We call universe to the set of all the objects that can be...
Conferences that tackle Feature Selection
Conferences
Artificial Intelligence Conference
Ibero-American Conference on AI, IBERAMIA
International Conference on Machine Learning
International...
You can reach me at acosta (dot) edgar (at) gmail (you know the rest.)
Feature Selection is sought in Artificial Intelligence and Machine Learning as a mean for dimensionality reduction, and complexity reduction. As such, it allows for faster learning/classification...
Description
Discovering knowledge in data is an introductory book to data mining. The book focuses on the different ways that data can be analyzed in order to discover patterns as well as to design...
Type:
Book
Title:
Discovering knowledge in data: an introduction to data mining
Author:
Larose, Daniel T.
ISSN:
0471666572
Publisher:
Wiley
Year:
2005
URL:
Electronic source
Call...
@book{Larose,
author={Daniel T. Larose},
year={2005},
title={Discovering knowledge in data : an introduction to data mining},
publisher={Wiley-Interscience},
address={Hoboken,...
Introduction
One of the most intriguing issues on human cognition regards to how is it possible for some people to become experts. Research agrees with our folk intuitions that expertise is only...
Reference
bibTeX entry
Less is more (Liu, and Motoda)
The first chapter assumes the reader already acknowledges the importance of feature extraction, construction, and selection, which are...
Type:
Book
Title:
Feature Extraction, Construction and Selection: a data mining perspective
Author:
Liu, Huan and Motoda, Hiroshi
ISBN:
0792381963
Publisher:
Kluwer Academic...
Feature Selection Algorithms to Improve Documents’ Classification Performance
Type:
Article
Title:
Feature Selection Algorithms to Improve Documents’ Classification...
Introduction
Classifiers (learn to) decide/predict the class of a query given the classes of a set of training samples.
The query and the training samples are points in a multidimensional space...
Feature weighting for lazy learning algorithms (Aha)
Chapter two starts describing lazy learning algorithms. Three typical characteristics of which are described:
They process their inputs until...
@incollection{LiuMotoda98-aha,
crossref={LiuMotoda98},
author={David W. Aha},
year={1998},
title={Feature Weighting for Lazy Learning Algorithms},
pages={13—32}
}
2: Feature Weighting for Lazy Learning Algorithms
Type:
Chapter
Title:
Feature Weighting for Lazy Learning Algorithms
Author:
Aha, David W.
Book Title:
Feature Extraction, Construction and...
If you are allowed to edit pages in this Site, simply click on edit button at the bottom of the page. This will open an editor with a toolbar pallette with options.
To create a link to a new page,...
In trying to understand the problems on feature relevance, feature selection, and feature discovery, I reviewed some literature on feature selection, machine learning, and Rough Sets. Then, I tried...
Please change this page according to your policy (configure first using Site Manager) and remove this note.
Who can join?
You can write here who can become a member of this site.
Join!
So you...
Journals that tackle Feature Selection
Journals on Feature Selection
Other Journals
International Journal of Pattern Recognition and Artificial Intelligence
Pattern Recognition
Pattern Recognition...
Less is more (Liu, and Motoda)
The first chapter assumes the reader already acknowledges the importance of feature extraction, construction, and selection, which are described without major...
Less is more (Liu, and Motoda)
Although this may seem a rehash of a chapter of the same title in Feature Extraction, Construction and Selection, this chapter makes a much better job at introducing...
@book{LiuMotoda08,
author={Huan Liu and Hiroshi Motoda},
year={2008},
title={Computational Methods of Feature Selection},
publisher={Chapman & Hall/CRC},
address={Boca...
@incollection{LiuMotoda08-1,
crossref={LiuMotoda08},
author={Huan Liu and Hiroshi Motoda},
year={2008},
title={Less is more},
pages={}
}
1: Less is more
Type:
Chapter
Title:
Less is more
Author:
Liu, Huan, and Motoda, Hiroshi
Book Title:
Computational Methods of Feature Selection
Editor:
Liu, Huan and Motoda,...
@book{LiuMotoda98,
author={Huan Liu and Hiroshi Motoda},
year={1998},
title={Feature extraction, construction and selection : a data mining perspective},
publisher={Kluwer...
1: Less is more
Type:
Chapter
Title:
Less is more
Author:
Liu, Huan, and Motoda, Hiroshi
Book Title:
Feature Extraction, Construction and Selection: a data mining perspective
Editor:
Liu,...
@incollection{LiuMotoda98-1,
crossref={LiuMotoda98},
author={Huan Liu and Hiroshi Motoda},
year={1998},
title={Less is more},
pages={3—12}
}
I realized that I had to go over the basics of Machine Learning. The first hint came from my supervisor, who found Rough Sets somewhat resembling Version Spaces, so he referred me to Tom Mitchell's...
I've been thinking a lot on the problem of discretization for the Robo Cup imitation project (RCIP). Too much thinking helped me to understand some issues, but also lead me to wonder other...
I am interested on how we assess the relevance of the features of a set of objects (e.g. sounds, words, sentences for language) we are dealing with. Roughly speaking, I am conjecturing that some of...
@book{Polkowski2002,
author={Lech Polkowski},
year={2002},
title={Rough Sets: Mathematical Foundations},
publisher={Physica-Verlag},
address={Heidelberg ; New York},
pages={534},
note={Includes...
Type:
Book
Title:
Rough Sets: Mathematical Foundations
Author:
Polkowski, Lech
ISBN:
3790815101
Publisher:
Physica-Verlag, Heidelberg, New York
Year:
2002
Call #:
QA 248...
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In this page I will describe the Robo Cup imitative agent project, the current challenges of this project, and the problem I am set to study.
The Robo Cup Simulation League
The Robo Cup Simulation...
3: The Wrapper Approach
Type:
Chapter
Title:
The Wrapper Approach
Author:
Kohavi, Ron, and John, George H.
Book Title:
Feature Extraction, Construction and Selection: a data mining...
@incollection{LiuMotoda98-kohavijohn,
crossref={LiuMotoda98},
author={Ron Kohavi and George H. John},
year={1998},
title={The Wrapper Approach},
pages={33—50}
}
The Wrapper Approach (Kohavi, and John)
In the third chapter, Kohavi and john describe a search in the space of feature subsets in order to find the optimal set of features for an inductive...
Notes
Citations
References
Version Spaces and Rough Set Theory
At first glance it may seem that Version Spaces and Rough Sets are different ways to describe the same thing, or at least, that one of them can be used to...
Welcome to Feature Selection rambles. This site is intended as a placeholder for my notes on the problem of Feature Selection. This is a closed wiki (wikis are just perfect to organize notes,) but...
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