Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification (TKDE 2016)
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Updated
Dec 29, 2015 - Java
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification (TKDE 2016)
Sketches and dimensionality reduction
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)
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
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)
Modern Information Retrieval Project, Search engine for farsi pages of wikipedia, crawling farsi pages, ranking search results based on their relevance to query terms
Implementation of feature selection methods for biological data
ProteinPipe: protein sequences classification model
Algorithms for feature selection based on covariance matrix.
Set of algorithms for feature selection in high-dimensional datasets.
Wrapper-method to select sub-set of features for classifying antimicrobial peptides
Heuristic Search for Approximating One Matrix in Terms of Another Matrix
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).
Master's Culminating Project. This repository contains the Feature Selection Pipeline tool (jar) to study the impact 12 feature selection algorithms on the performance of 5 popular classification algorithms
Increasing the efficiency of Naïve Bayes model in NLP for Sentiment Analysis. B.Tech Final Year Project
Landmark-based Feature Drift Detector
CS:Select is an application designed to aid in Feature Subset Selection
Common feature selection algorithms implemented in Java
Java Learning from observation Framework using CBR and Bayesian Networks
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