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dva icon dva

🌱 React and redux based, lightweight and elm-style framework. (Inspired by elm and choo)

gbdt icon gbdt

gdbt implement by scikit-learn

husa icon husa

a selective algorithm named hierarchical selection and dynamic update is proposed, which could optimize the parameters of classifier by using multi-thread technique and select the sub sequence set of classifiers base on hierarchical selection and update the information dynamically. It could solve the problem in the past for choosing classifier to ensemble learning inefficiently. In addition, to cut down the time for ensemble vote, a strategy called divide-and-conquer is proposed. The big vote task can be divided recursively into small child task by dichotomy, then running the task parallel and conquer the vote result. Experimental results show that this selective algorithm has made a significant boost, comparing with traditional classification algorithms.

libd3c-1.1 icon libd3c-1.1

Ensemble classifiers with a clustering and dynamic selection strategy and solve imbalance peoblem

mrmd icon mrmd

A feature selection method(Maximum-Relevance-Maximum-Distance)

sng icon sng

ζε–ζ°¨εŸΊι…Έζ–‡δ»Ά

trie-tree-version icon trie-tree-version

HAlign is a package of multi-platform Java software tools, which aimed at large scale multiple similar DNA/RNA sequence alignment. HAlign employs center star multiple sequence alignment strategy. The input file should be a fasta DNA or RNA file. You can use this tool in any OS with JVM.

tsp icon tsp

Deal traveling salesman problem by SA algorithm

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