🏠 Home
Prestatietests
📊 Alle benchmarks 🦖 Dinosaur v1 🦖 Dinosaur v2 ✅ To-Do List applicaties 🎨 Creatieve vrije pagina's 🎯 FSACB - Ultieme showcase 🌍 Vertaalbenchmark
Modellen
🏆 Top 10 modellen 🆓 Gratis modellen 📋 Alle modellen ⚙️ Kilo Code
Bronnen
💬 Promptbibliotheek 📖 AI-woordenlijst 🔗 Nuttige links

AI-woordenlijst

Het complete woordenboek van kunstmatige intelligentie

162
categorieën
2.032
subcategorieën
23.060
termen
📖
termen

Upper Confidence Bound (UCB)

Acquisition function that adds an exploration term, proportional to the model's uncertainty, to the predicted mean, allowing explicit control of the exploration-exploitation trade-off via a parameter.

📖
termen

Probability of Improvement (PI)

Acquisition function that calculates the probability that a candidate point will improve the current best result, tending to favor exploitation of areas already known to be promising.

📖
termen

Kernel (or Covariance Function)

Function that defines the similarity between two points in the search space and determines the smoothing properties of the Gaussian process, crucial for the quality of the surrogate model.

📖
termen

Multi-Objective Optimization

Extension of Bayesian optimization aimed at simultaneously optimizing multiple conflicting objectives, producing a Pareto front of non-dominated solutions.

📖
termen

Parallel Optimization

Variant of Bayesian optimization that proposes multiple points to evaluate simultaneously, accelerating the process by leveraging distributed computing resources.

📖
termen

Kernel Hyperparameter

Parameters of the Gaussian process kernel (such as length scale or variance) that define the correlation structure of the surrogate model and are often optimized internally.

📖
termen

Latin Hypercube Sampling Initialization

Strategy for generating the first evaluation points that ensures homogeneous coverage of the search space, reducing the initial bias of the surrogate model.

📖
termen

Trust Region Based Optimization

Approach that restricts the search to a trust region around the current best solution, dynamically adjusting it to accelerate local convergence.

📖
termen

Noisy Objective Function

Evaluation function whose results are affected by random noise, requiring adaptations of the Gaussian process and acquisition functions to handle uncertainty.

📖
termen

Automated Hyperparameter Tuning

Process that uses algorithms such as Bayesian optimization to automatically find the combination of hyperparameters that optimizes the performance of a machine learning model.

🔍

Geen resultaten gevonden