Machine learning library for classification tasks
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Updated
May 9, 2024 - Java
Machine learning library for classification tasks
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification (TKDE 2016)
Java Learning from observation Framework using CBR and Bayesian Networks
Algorithms for feature selection based on covariance matrix.
An open-source tool for performing feature selection process in different areas of research
Common feature selection algorithms implemented in Java
Set of algorithms for feature selection in high-dimensional datasets.
Wrapper-method to select sub-set of features for classifying antimicrobial peptides
Genetic Algorithms for Feature Selection, solving a variant of the Multi-Depot Vehicle Routing Problem (MDVRP), and image segmentation with a Multiobjective Evolutionary Algorithm (MOEA).
CS:Select is an application designed to aid in Feature Subset Selection
The code of our paper "A Feature Selection Framework Based on Supervised Data Clustering" (一种基于有监督数据聚类的特征选择方法,2017)
Sketches and dimensionality reduction
Project 1: Use diameter to generate any M-by-N puzzles and a solver. Project 2: Use greedy search to find the related features of nearest neighbor
A Feature Selection Studio plugin for Weka Explorer
Modern Information Retrieval Project, Search engine for farsi pages of wikipedia, crawling farsi pages, ranking search results based on their relevance to query terms
The code of our paper "D-FS--A Novel Integration Method of Discretization and Feature Selection" (一种离散和特征选择集成方法,2017)
Heuristic Search for Approximating One Matrix in Terms of Another Matrix
Implementation of feature selection methods for biological data
Increasing the efficiency of Naïve Bayes model in NLP for Sentiment Analysis. B.Tech Final Year Project
Landmark-based Feature Drift Detector
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