YZ Sözlüğü
Yapay Zekanın tam sözlüğü
k-Means
Unsupervised clustering algorithm that partitions data into k clusters by minimizing intra-cluster variance, assigning each point to the cluster whose centroid is closest.
Perceptron
Supervised learning algorithm for binary classification, considered the simplest type of neural network, which computes a weighted output from its inputs and applies a non-linear activation function.
Decision Lists
Classification model that represents knowledge as an ordered list of 'if-then' rules, where the first rule whose conditions are satisfied determines the final prediction.
Bayesian Rule Lists
Probabilistic approach for generating decision lists using Bayesian inference to discover a compact and accurate set of 'if-then' rules from data.
Propensity Score
Conditional probability that an individual receives a given treatment based on their observed covariates, used to reduce selection bias in observational studies.
Linear Support Vector Regression (Linear SVR)
Variant of support vector machines for regression that seeks a hyperplane that best fits the data while tolerating an epsilon margin of error, with a linear and interpretable decision structure.
One-Rule Classifier (1R)
Simple classification algorithm that generates a single 'if-then' rule for each attribute, selecting the rule that minimizes the error rate, offering maximum interpretability.