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A Proposed Framework for Early Prediction of Schistosomiasis

A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining

Using an improved relative error support vector machine for body fat prediction

A fuzzy adaptive binary global learning colonization-mlp model for body fat prediction

Combinatorial optimization methods for the (alpha,beta)-k Feature Set Problem

An adaptive memetic algorithm for feature selection using proxity graphs

A new feature selection approach based on proximity graphs and evolutionary computation

Breast cancer intrinsic subtypes: a critical conception in bioinformatics

Genetic algorithm-based ensemble methods for large-scale biological data classification

Identifying malicious web domains using machine learning techniques with online credibility and performance data

Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset

FSMEC: a feature selection method based on the minimum spanning tree and evolutionary computation

Hybrid filter-wrapper feature selection for short-term load forecasting

Mid-term interval load forecasting using multi-output support vector regression with a memetic algorithm for feature selection

Feature selection for intelligent transportation systems

  • Creator: Peng, Yu
  • Resource Type: thesis
  • Date: 2014

Using meta-regression data mining to improve predictions of performance based on heart rate dynamics for Australian football

Prediction of plant promoters based on hexamers and random triplet pair analysis

Detection of nuclei clusters from cervical cancer microscopic imagery using C4.5

Combinatorial optimization models for finding genetic signatures from gene expression datasets

Genetic signatures for a rodent model of Parkinson's disease using combinatorial optimization methods

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