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...
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...
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...
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...
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 ...
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 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...
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, ...
Classification and Regression Trees or CART for short is a term introduced byLeo Breimanto refer toDecision Treealgorithms that can be used for classification or regression predictive modeling problems. Classically, this algorithm is referred to as “decision trees”, but on some platforms like R th...
We have applied our proposed regression model on many real multi-view regression data sets to predict the global rating score of the hotel, the rating of the movie and the relative location of the CT image on the axial axis, while our classification model can not predict the continuous ...