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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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