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[Other resourceGenLASSO-1.1.tar

Description: 统计学习软件包,基于lasso算法的参数估计-statistical learning packages, lasso based on the parameter estimation algorithm
Platform: | Size: 450067 | Author: Dune Lee | Hits:

[AlgorithmGenLASSO-1.1.tar

Description: 统计学习软件包,基于lasso算法的参数估计-statistical learning packages, lasso based on the parameter estimation algorithm
Platform: | Size: 450560 | Author: Dune Lee | Hits:

[Mathimatics-Numerical algorithmslasso

Description: lasso算法是stanford的tibshirani提出的一种变量子集选择算法。-lasso algorithm is proposed by stanford
Platform: | Size: 206848 | Author: 项龙江 | Hits:

[AlgorithmLasso

Description: lasso regression. It is very good to use for statics processing.
Platform: | Size: 359424 | Author: Tandy | Hits:

[Special Effectsssa

Description: 多种信号过完备字典学习算法的工具包,包含文献Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms中所有的算法。-Multiple signals over-complete dictionary learning algorithm toolkit, including literature Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms for all algorithms.
Platform: | Size: 13312 | Author: | Hits:

[Special EffectsLiveWireFinal

Description: 交互式图像分割的一种算法——LiveWire在VC++平台下基于opencv的实现。类似于Photoshop中吸铁石套索的功能。-Interactive image segmentation algorithm- LiveWire platform in VC++ opencv-based implementation. Similar to the magnet lasso feature in Photoshop.
Platform: | Size: 14515200 | Author: 杨榕 | Hits:

[matlablars

Description: 解L1正则化回归问题(lasso)的Lars算法 -a classic algorithm for lasso called LARs——Least Angle Regression
Platform: | Size: 3072 | Author: 柚子 | Hits:

[matlabSALSA_v2.0

Description: 应用交替方向乘子法来求解L1正则化问题、BP问题、LASSO问题的一种算法,-Application alternating direction multiplier method to solve L1 regularization problem, BP issue LASSO problem an algorithm
Platform: | Size: 241664 | Author: yangzhenzhen | Hits:

[Graph DrawingPolyFill

Description: 多边形扫描转换填充算法(即,抠图或多边形套索) -Polygon scan conversion filling algorithm (ie, matting or polygonal lasso)
Platform: | Size: 36864 | Author: 卓峰 | Hits:

[Othercode

Description: 处理lasso regression。 使用stochastic Markov property。-Algorithm for solving the Lasso problem: 0.5* (y- X*beta) *(y- X*beta)+ lambda* ||beta||_1 where ||beta||_1 is the L_1 norm i.e., ||beta||_1 = sum(abs( beta )) We use the method proposed by Fu et. al based on single co-ordinate descent. For more details see GP s notes or the following paper: Penalized Regressions: The Bridge Versus the Lasso Wenjiang J. FU, Journal of Computational and Graphical Statistics, Volume 7, Number 3, Pages 397?416, 1998
Platform: | Size: 4096 | Author: 莫琳 | Hits:

[Othermulti-task_lasso

Description: MMT is a Matlab toolbox implementing the multi-task Lasso models, including: (i) the Lasso (ii) the standard multi-task Lasso, i.e. the group Lasso (iii) the structured input-output multi-task Lasso, a.k.a. the two-graph guided multi-task Lasso proposed in [1]. The last case (iii) subsumes the special cases: tree-guided and the feature-graph guided multi-task Lasso. The core optimization algorithm for solving this model is developed in C to enhance greater computational efficiency. In particular, current scalability of the coefficient matrix that has been tested for MMT is 104*104! The structured input-output multi-task Lasso model is well-suited for addressing the expression quantitative trait loci (eQTL) mapping problems which are of the intrinsic high-dimensional nature. Details can be found in [1].-MMT is a Matlab toolbox implementing the multi-task Lasso models, including: (i) the Lasso (ii) the standard multi-task Lasso, i.e. the group Lasso (iii) the structured input-output multi-task Lasso, a.k.a. the two-graph guided multi-task Lasso proposed in [1]. The last case (iii) subsumes the special cases: tree-guided and the feature-graph guided multi-task Lasso. The core optimization algorithm for solving this model is developed in C to enhance greater computational efficiency. In particular, current scalability of the coefficient matrix that has been tested for MMT is 104*104! The structured input-output multi-task Lasso model is well-suited for addressing the expression quantitative trait loci (eQTL) mapping problems which are of the intrinsic high-dimensional nature. Details can be found in [1].
Platform: | Size: 478208 | Author: 莫琳 | Hits:

[matlablasso

Description: lasso算法,分为很多子类,可以单独运行-lasso algorithm
Platform: | Size: 55296 | Author: 李松 | Hits:

[Multimedia DevelopMotion_aware-decoding-of-CS-video

Description: 一篇关于压缩感知的运动感知译码算法,将YUV视频进行压缩感知采样,然后传输至译码端,并采用LASSO算法对其进行重构的文章。-A motion perception on compressed sensing decoding algorithm, the YUV video compression sensing sampling, and then transmitted to the decoder side, using LASSO algorithm to reconstruct the article.
Platform: | Size: 3760128 | Author: like | Hits:

[Special Effectslasso

Description: 关于LSAAO算法的MATLAB程序代码以及对应的参考文献资料。-MATLAB code about LSAAO algorithm as well as the corresponding reference data.
Platform: | Size: 18789376 | Author: zhangxingbo | Hits:

[Algorithmlasso

Description: lasso算法的例子,用于最小二乘优化,包含了多个子文件-an example of lasso algorithm for least square update,which includes a lot subfiles
Platform: | Size: 36864 | Author: jinghoko | Hits:

[AI-NN-PRUnconstrain-lasso

Description: 在传统LASSO 算法基础上,未加约束的lasso源码,有在这方面应用的可以拿去使用-Based on the traditional LASSO algorithm, without the constraints of lasso source code, application in this area can use it
Platform: | Size: 4096 | Author: 赵傲雪 | Hits:

[DataMininglasso-enet

Description: 针对数据挖掘中的lasso算法,可用于选择变量-Data driven algorithm for lasso based regression modelling which can be used for variable selection
Platform: | Size: 32768 | Author: zchww | Hits:

[Special Effectslasso

Description: 使用admm算法解决lasso问题,matlab代码-Use admm lasso algorithm to solve the problem, matlab codes
Platform: | Size: 1024 | Author: john | Hits:

[OtherLASSO

Description: 基于LASSO算法的编程 利用了r语言.对线性模型进行了系数估计和变量选择(Programming based on LASSO algorithm, using the R language)
Platform: | Size: 7168 | Author: hujing0731 | Hits:

[matlablasso

Description: 2012matlab含有此工具箱。优化算法。(2012matlab contains this toolbox. Optimization algorithm.)
Platform: | Size: 54272 | Author: 尛宝天天见714 | Hits:
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