搜索资源列表
icsiboost-0.3.tar
- Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the
adaptive_adaboosting.rar
- AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files ,AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm t
multiboost-0.71.src.tar
- MultiBoost 是c++实现的多类adaboost酸法。与传统的adaboost算法主要解决二类分类问题不同，MultiBoost解决的是多类的分类问题，而并不是把多类转化成二类问题。-MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning
opt4j-2.0
- Java平台的启发式优化算法，包含了多目标进化算法（SPEA2和NSGA2），多目标差异进化，PSO和单目标模拟退火算法。并且包含了ZDT,DTLZ和WFG等测试函数-Opt4J is a framework for applying meta-heuristic optimization algorithms to arbitrary optimization problems. The Opt4J framework currently includes a multi-obje
opt4j-2.2
- Opt4J is a framework for applying meta-heuristic optimization algorithms to arbitrary optimization problems. Version 2.2
meta-NNIA
- 实现在多目标优化算法NSGA2基础之上加入免疫克隆算法的NNIA算法，并且在NNIA基础之上加入memetic算法-Achieve multi-objective optimization algorithm based on NSGA2 immune clone algorithm NNIA join algorithm, and adding memetic algorithm based on NNIA
Topic-oriented-meta-search-engine
- 关键词：面向主题 元搜索引擎 神经网络 相关性 中文分词 -Keywords: subject-oriented meta-search engines neural network relevance Chinese word
genetic-cuckoo-optimization-algorithm-gcoa.txt.zi
- n this paper, Optimization is considered as the main impact of insight problem and heuristic methods. A proposed method is represented by using two optimization algorithms cuckoo optimization is heuristic method and Genetic algorithm is meta-heuristi
CleverAlgorithms
- 启发式算法库 clever algorithm书的代码。。。有Stochastic Algorithms,Evolutionary Algorithms,Physical Algorithms-meta-hurestic algorithms include Stochastic Algorithms,Evolutionary Algorithms,Physical Algorithms...
1-s2.0-S0925231213009909-main
- 一种改进型的新型极限学习机meta-elm,在训练效率上有很大提升-meta extrem learning machine
python-code-for-Machine-learning
- 用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
MODA
- 我很高兴与你们分享我最近在这页上的工作。是的，你的猜测是正确的，这是一种新的算法，但是这次我已经开发了三种算法来解决三种不同类型的优化问题。 蜻蜓算法(DA)算法的主要灵感来源于静态和动态的变暖行为。这两种变暖行为非常类似于使用元启发式进行优化的两个主要阶段:勘探和开发。蜻蜓能在静止的蜂群中产生亚群，并飞过不同的区域，这是探索阶段的主要目标。然而，在静止的蜂群中，蜻蜓在更大的群中飞行，沿着一个方向飞行，这在开发阶段是有利的。-I am pleased to share my recent w
蚁群
- 蚁群优化算法进行参数优化，是元启发式算法的一种(Ant colony optimization (ACO) optimization algorithm is a kind of meta heuristic algorithm.)