Two popular methodologies of CI include neural networks and fuzzy systems. Lately, a unification was proposed in CI, at a "data level", based on lattice theory (Kaburlasos, 2006). More specifically, it was shown...doi:10.1007/978-3-540-34170-3_7Vassilis G. Kaburlasos...
分类和逻辑回归(Classification and logistic regression) http://www.cnblogs.com/czdbest/p/5768467.html 广义线性模型(Generalized Linear Models) http://www.cnblogs.com/czdbest/p/5769326.html 生成学习算法(Generative Learning algorithms) http://www.cnblogs.com/czdbest/p/5771500.html...
If you specify 'Method','Bag', then specify the problem type using the Type name-value pair argument, because you can specify 'Bag' for classification and regression problems. For details about ensemble aggregation algorithms and examples, see Ensemble Algorithms and Choose an Applicable Ensemble ...
An algorithm that is capable of learning a regression predictive model is called a regression algorithm. Some algorithms have the word “regression” in their name, such as linear regression and logistic regression, which can make things confusing because linear regression is a regression algorithm wh...
predict and print. A classification example The Forensic Glass data set was used in Chapter 12 of MASS4 (Venables and Ripley, 2002) to illustrate vari- ous classification algorithms. We use it here to show howrandomforests work: ...
The focus of this dissertation is on robust regression and classification in genetic association studies. In the context of robust regression, new exact algorithms, results for robust online scale estimation, and an evolutionary computation algorithm for different estimators in higher dimensions are presen...
the algorithm (which experiences the data and performs on the task) the performance measure Why does this matter? Regression and classification are types ofmachine learning tasks. Additionally, the structure of the input data (i.e., the “experience” that we use to train the system) is diffe...
内容提示: OverviewClassification and regression treesWei-Yin LohClassificationandregressiontreesaremachine-learningmethodsforconstructingpredictionmodelsfromdata.Themodelsareobtainedbyrecursivelypartitioningthe data space and fitting a simple prediction model within each partition. As aresult, the partitioning can ...
A collection of Ant Colony Optimization (ACO) algorithms for the data mining classification and regression tasks - febo/myra
Vol. 2/3, December 2002 18 Classi?cation and Regression by randomForest Andy Liaw and Matthew Wiener Introduction Recently there has been a lot of interest in “ensemble learning” — methods that generate many classi?ers and aggregate their results. Two well-known methods are boosting (see, ...