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AI - Lecture 1
AI - Lecture 2
AI - Lecture 3
AI - Lecture 4
AI - Lecture 5
AI - Lecture 6
AI - Lecture 7
AI - Lecture 8
AI - Lecture 9
AI - Lecture 10
AI - Lecture 11
AI - Lecture 12
AI - Lecture 13
AI - Lecture 14
AI - Lecture 15
AI - Lecture 16
AI - Lecture 17
AI - Lecture 18
AI - Lecture 19
AI - Lecture 20
AI - Lecture 21
AI - Lecture 22
AI - Lecture 23
AI - Lecture 24
University AI - A° Search
University AI - A° Search (Slides)
University AI - AI Discussion
University AI - All Arguments
University AI - All Slides
University AI - ANN (Artificial Neural Network)
University AI - ANN (Artificial Neural Network) (Slides)
University AI - Autoencoder (Slides)
University AI - Autoencoders (Auto-associative Neural Net)
University AI - Backpropagation & Delta Rule (Slides)
University AI - Bayes Decision Rule
University AI - Bayes Decision Rule (Slides)
University AI - Bayes Theorem
University AI - Best-First Search
University AI - Best-First Search (Slides)
University AI - Breadth-First Search
University AI - Breadth-First Search (Slides)
University AI - Classification Problem
University AI - Classifier for Probability Estimation - K-NN, Parzen Window and Kernels
University AI - CNN (Competitive Neural Network)
University AI - CNN (Competitive Neural Network) (Slides)
University AI - Complete Mind Map
University AI - Complete Mind Map (Old Version)
University AI - Decision Boundary or Decision Rule
University AI - Delta Rule
University AI - Density Estimation
University AI - Density Estimation (Slides)
University AI - Depth-First Search
University AI - Depth-First Search (Slides)
University AI - Depth-Limited Search
University AI - Depth-Limited Search (Slides)
University AI - Differences Between K-NN, Parzen Window and Kernel Classifiers
University AI - Discriminant Functions
University AI - Estimate Class-Conditional PDFs using MLPs
University AI - Estimate of the Probability Density of a Specific Pattern (Slides)
University AI - Estimated Probability
University AI - Exploration vs. Exploitation Algorithms
University AI - First X Principal Components
University AI - Gaussian Distribution
University AI - Gaussian Distribution (Slides)
University AI - Genetic Algorithms (Slides)
University AI - Gradient Descent
University AI - Graph Search
University AI - Graph Search (Slides)
University AI - Greedy Best-First
University AI - Greedy Best-First (Slides)
University AI - Hill-Climbing Search (Slides)
University AI - How Decision are Made (Slides)
University AI - Iterative Deepening Search
University AI - Iterative Deepening Search (Slides)
University AI - K-NN (K-Nearest Neighbour)
University AI - K-NN (K-Nearest Neighbour) Algorithm (Slides)
University AI - Kernels
University AI - Kn-NN (Kn-Nearest Neighbour)
University AI - Learning Methods for ANN
University AI - Local Beam Search (Slides)
University AI - Main Supervised Learning Tasks
University AI - Main Supervised Learning Tasks (Slides)
University AI - Maximum Likelihood Estimations of Mixture Densities (Slides)
University AI - Mixture of Experts
University AI - Mixture of Experts (Slides)
University AI - ML (Maximum Likelihood) Estimation (Slides)
University AI - ML (Maximum Likelihood) Estimator
University AI - ML Estimations of Mixture Densities
University AI - MLP (Multilayer Perceptron)
University AI - MLP (Multilayer Perceptron) (Slides)
University AI - Non-Parametric Decision Rule
University AI - Non-Parametric Decision Rule (Slides)
University AI - Normal Uses of an Autoencoder
University AI - Parzen Neural Network
University AI - Parzen Neural Network (Slides)
University AI - Parzen Window
University AI - Patter Recognition and Probability Estimation using ANNs
University AI - Patter Recognition and Probability Estimation using ANNs (Slides)
University AI - Pattern Recognition and Feature Extraction (Slides)
University AI - Practical Insights for training ANNs
University AI - Practical Issue and Some Insights (Slides)
University AI - RBF (Radial Basis Function) Networks
University AI - RBF (Radial Basis Function) Networks (Slides)
University AI - Similarity Measures of Clusters (Slides)
University AI - Simulated Annealing Search (Slides)
University AI - Single-State Problem Formulation (Slides)
University AI - SP (Simple Perceptron)
University AI - State as a Solution
University AI - Supervised Learning - Non-Parametric Estimation
University AI - Supervised Learning (Non-Parametric Estimation) (Slides)
University AI - Supervised Parametric Estimation (Slides)
University AI - Supervised Parametric Estimation Algorithms (Slides)
University AI - Symbolic AI (Problem Solving)
University AI - Theorem (Lippmann, Richard)
University AI - Train an ANN in an Unsupervised Manner
University AI - Tree Search (Slides)
University AI - Tree Search Algorithms (Slides)
University AI - Turing Machine
University AI - Turing Machine (Slides)
University AI - Types of Features
University AI - Uniform-Cost Search
University AI - Uniform-Cost Search (Slides)
University AI - Universality of an MLP
University AI - Unsupervised Non-Parametric Estimation (Clustering) (Slides)
University AI - Unsupervised Parametric Estimation (Slides)
University AI - Validation of Classifiers
University AI - Windrow-Hoff Algorithm (Slides)
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University AI - Backpropagation & Delta Rule (Slides)
University AI - Backpropagation & Delta Rule (Slides)
Jul 31, 2024
1 min read
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