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mcKLR_mckNN
- This package includes two approaches to multi-class cost-sensitive learning, that is, mcKLR and mckNN. The descr iption of mcKLR can be found in our TPAMI paper and CVPR'08 paper; the descr iption of mckNN can be found in our TPAMI paper. Both approa
stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
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- 实时有限多任务藻统设计与实现 这是我转的啊 看着觉得很好 很受启发 传上来 大家一起学习-Real-time multi-task with limited integration Design and Implementation of algae this is my turn, ah, a very enlightened look really good with everyone learn pass up
SPIDER_mclass
- Multi-class Coding (adapted from from LS-SVM for SPIDER). Encode (code_MOC, code_ECOC, code_OneVsAll, code_OneVsOns) and decode (codedist_hamming, codedist_bay) a multi-class classification task into multiple binary classifiers.
adaline
- The Adaline is essentially a single-layer backpropagation network. It is trained on a pattern recognition task, where the aim is to classify a bitmap representation of the digits 0-9 into the corresponding classes. Due to the limited capabilities of
MultitaskBCICode
- This the Multi task BCI Code including mt_gauss, mt_regression and test_err_linreg.-This is the Multi task BCI Code including mt_gauss, mt_regression and test_err_linreg.
CBBA
- 该CBBA(Consensus-Based Bundle Algorithm)算法可以解决带有任务属性、任务价值、任务时间窗等多种约束下的任务分配问题，结果以图形化展示，便于理解。-CBBA is a decentralized market-based protocol that provides provably good approximate solutions for multi-agent multi-task allocation problems over networks of
MALSAR1.1
- 多种多任务学习算法的工具箱 有代码有使用手册 matlab版-the toolbox of multi-task learning algorithms (matlab version)
MTWGP
- Multi-Task Warped Gaussian Process for Personalized Age Estimation 文章的matlab源代码-matlab code of paper Multi-Task Warped Gaussian Process for Personalized Age Estimation
MTBoost1
- Duchi and Singer [24] proposed a boosting method for multi-class classification problems by utilizing the structural sparsity of model parameters. They claimed that the method can be generalized for multi-task learning.
Finite_time_Sim
- 群集行为是多智能体系统研究中的一个重要问题，其主要任务是给出多个智能体基于局部信息实现群集行为的条件，本文针对信息交换拓扑保持连通性的群集行为展开研究，主要内容如下(Swarming behavior is an important problem in the research of multi-agent system, its main task is to give a local agent information to realize the swarm behavior based
众包问题（聚类算法样例）
- 解决多种平台在人口密度分派任务的定价问题，提高任务完成率(Solve the pricing problem of multi-platform assignment tasks in population density and improve task completion rate)
Genetic-Algorithm-Path-master
- 通过遗传（GA）算法求解多旅行商（MSTP）问题，用于解决多目标的任务分配(GA algorithm was used to solve MSTP problem,used to solve multi-objective task assignment)