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Logistic Regression is used to describe data and to explain the relationship between one dependent binary variable and one or more metric independent variables.It measures…

This article talks about Linear Discriminant Analysis (LDA), which is most commonly used as dimensionality reduction technique in the pre-processing step for pattern-classification and machine…

This article briefly describe on Linear Classifier. The Linear Classifier models for classification separate input vectors into classes using linear decision boundaries. Linear Classifier achieved…

Analysis of Variance (ANOVA) is a statistical method used to test differences between two or more means. It may seem odd that the technique is…

Conditional Random Field (CRF) is undirected graphical models, a special case of which correspond to conditionally-trained finite state machines. A key advantage of CRFs is…

Scale of Measurement refers to the relationship among the values that are assigned to the attributes for a variable. It deals with variables that are…

Random Forest can flexibly incorporate missing data in the predictor variables. When missing data are encountered for a particular observation during model building, the prediction…

This article talks about Support Vector Machine (SVM), which  is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training…

Analogical Modeling (AM) is an exemplar-based general theory of description that uses both neighbors and non-neighbors to predict language behavior. Analogical modeling is an appropriate…

Learning Vector Quantization (LVQ) has been studied to generate optimal reference vectors because of its simple and fast learning algorithm. It can be understood as…

Learning Automata is inconvenient to describe algorithms as finite-state automata, so a move was made to describe the internal state of the agent as a…

Group Method of Data Handling (GMDH) is a set of several algorithms for different problems solution. It consists of parametric, clusterization, analogues complexing, rebinarization and…