Decision analysis

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Related lectures (32)

Page 1 of 4

Concept Selection and Tradespace Exploration

Covers decision analysis, concept selection methods, non-dominance, and optimization in system design.

Linear Models for Classification: Part 3

Explores linear models for classification, including binary classification, logistic regression, decision boundaries, and support vector machines.

Optimal Decision Analysis

Explores strong duality, complementary slackness, economic interpretation, and stochastic problem scenarios in linear programming.

Decision Tree Classification

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Supervised Learning: Formalization and Cost Functions

Covers the formalism for supervised learning and decision functions in classification problems.

Support Vector Machines: Soft Margin SVM

Introduces Soft Margin SVM, aiming to balance errors and margin width.

Likelihood Ratio Test: Detection & Estimation

Covers the likelihood ratio test for detection and estimation in statistical analysis.

Thermodynamic Properties: Equations and Models

Explains thermodynamic properties, equations of state, and mixture rules for energy systems modeling.

Symbolic Representation of State Spaces

Delves into symbolic representation of state spaces using decision diagrams for high-level Petri nets, showcasing efficient encoding techniques and benchmark results.

Classification Detection

Covers binary hypothesis testing and decision functions in specific scenarios.