Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

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Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data.

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Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

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Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

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Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

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Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

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Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

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Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

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Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

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P1476

Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

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P2093

Alexandre X Falcão

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João P Papa

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Pedro J de Rezende

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Rodrigo Y M Nakamura

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Willian P Amorim

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P2860

An introduction to ROC analysis

Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change.

A new measure of classifier performance for gene expression data.

A systematic comparison of supervised classifiers.

Design and analysis of classifier learning experiments in bioinformatics: survey and case studies.

Efficient optimization of performance measures by classifier adaptation.

An overview of statistical learning theory.

Combined 5 x 2 cv F test for comparing supervised classification learning algorithms.

Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms.

A training algorithm for optimal margin classifiers

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e0129947

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scholarly article

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10.1371/JOURNAL.PONE.0129947

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English

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http://www.w3.org/2001/XMLSchema#string

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Priscila T M Saito

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2015-06-26T00:00:00Z

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279519474

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26114552

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4483274

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Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

about

P2860

P2860

Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint

description

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type

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P1433

P1476

P2093

P2860

P304

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P356

P407

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P5875

P698

P932

P356

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P1476

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P2860

P304

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P356

P407

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P478

P50

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P5875

P698

P932